https://mecwiki.etsi.org/api.php?action=feedcontributions&user=Velez&feedformat=atomMECwiki - User contributions [en]2024-03-29T05:53:38ZUser contributionsMediaWiki 1.39.3https://mecwiki.etsi.org/index.php?title=Hack2022_3rd_Prize&diff=4235Hack2022 3rd Prize2024-03-28T09:10:59Z<p>Velez: </p>
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<div><p class="left" style="font-size:26px;"> ←''[[ETSI_-_LF_MEC_Hackathon_2022|MEC Hackathon 2022]]''<p><br />
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<p class="center" style="font-size:34px;"><b>3<sup>rd</sup> Prize Award & Automotive Special Prize</b><p><br />
<br />
<p class="center" style="font-size:34px;"><b> K.I.T.T Knowledge in the traffic<br />
</b><p><br />
<br />
<br><br />
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= Team=<br />
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Team from '''Optare Solutions'''<br />
* Xose Ramon Sousa Vazquez<br />
* Santiago Rodriguez Garcia <br />
* Fernando Lamela Nieto <br />
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[[File:Edge Hackathon 2022 - Automotive Special Prize.jpg|600px|center|top|class=img-responsive]]<br />
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<div class="panel-footer">From left to right, Fernando Lamela and Santiago Rodriguez with Jury members Bob Gazda (InterDigital) and Jyoti Sharma (5GAA Board/Verizon)</div> <br />
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= Introduction = <br />
<p><br />
* A connected vehicle (car) that with the support of 5G, MEC and artificial intelligence technologies is able to capture information from the surrounding environment and feed a smart platform with this information which can predict and adopt several actions for the good of people.<br />
<br />
[[File:hack2022-optare-architecture1v2.png|800px|center|top|class=img-responsive]]<br />
<br><br />
* The information retrieved by the car and sent to the platform is collected by three different ways:<br />
** '''camera:''' the car is equipped with a camera that sends a video stream to the edge over which is executed an AI inference algorithm to detect several patterns and generate information packages relevant to the smart platform.<br />
** '''sensors:''' the car is equipped with several sensors (temperature, humidity, …) that can create heat maps with this information to the smart platform.<br />
** '''the smart environment itself'''. In regions/areas where the information sources are isolated (low power, low signal quality, bad coverage due maintenance, weather conditions, etc), the car can act like a link between the information source and the smart environment platform, uploading this information in the next available coverage area crossed by the car in its route.<br />
<br />
* Every information contribution to the smart environment could be rewarded with points that can be exchanged with tax discounts, for example, guaranteeing the participation of the people establishing missions with a different degree of value. <br />
<br />
* Every connected car can register on the smart environment platform and provide several information about the environment and people. <br />
</p><br />
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<br />
= Architecture =<br />
<br><br />
[[File:hack2022-optare-architecture2.png|800px|center|top|class=img-responsive]]<br />
<br><br><br />
[[File:hack2022-optare-architecture3.png|800px|center|top|class=img-responsive]]<br />
<br><br><br />
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= Use Cases =<br />
<br />
== UC1: Historical Data collection from autonomous MMTC Edge == <br />
[[File:hack2022-optare-component-UC1.png|800px|center|top|class=img-responsive]]<br />
<br />
* Context: two different networks,<br />
** Provided by Operator 1, connected, with Edge services in different nodes.<br />
** Provided by Operator 2, autonomous, with MMTC Edge services for different local verticals and with LoraWan connectivity for security monitoring.<br />
<br />
'''UC.1:''' a connected car scenario where it can act, once registered, as a carrier of the historical data generated by all the IoT devices connected to the MMTC Edge during an interval of time, in order to be stored and processed by services and the resources provided by the Operator 1 Edge.<br />
<br />
* Considerations:<br />
** MMTC Edge need to be efficient and guaranty IoT Flows based services to local verticals, with limited resources and delivers local 5G connectivity to IoT Devices<br />
** Edge can have more resources, in addition to 5G connectivity, with backhaul, and can serve applications and services where it can balance between local and cloud.<br />
<br><br><br />
== UC2: Service APP Update to autonomous MMTC Edge ==<br />
<br> <br />
[[File:hack2022-optare-component-UC2.png|800px|center|top|class=img-responsive]]<br />
<br />
* In the context of two different networks,<br />
** Provided by Operator 1, connected, with Edge services in different nodes.<br />
** Provided by Operator 2, autonomous, with MMTC Edge services for different local verticals and with LoraWan connectivity for security monitoring.<br />
<br />
'''UC.2:''' a connected car scenario where it can act, once registered, as a carrier of new versions, if exist, of MMTC IoT Security Flows, as a part of the ‘firmware’ of the node, that can be updated once security checks were passed.<br />
<br />
* Considerations:<br />
** MMTC Edge provides different functionalities related with the management of IoT devices and data produced, delivering an optimized environment for some verticals in locations with reduced access to broadband communications.<br />
** MMTC Edge provides secure graphical access for customers to modify their own IoT Flows, but no to update or modify security flows (firmware), that only can be updated by an operator or by a connected car (with this UC) once is registered and security checks are made.<br />
<br />
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= Software resources =<br />
<br />
• '''Project repository'''<br />
<br />
https://github.com/flamela/kitt-etsi-hackathon22<br />
[[File:hack2022-optare-car_dashboard.png|600px|center|class=img-responsive]]<br />
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= Hackathon Alignment =<br />
<p> This project has fullfilled the hackathon criteria required by the jury </p><br />
{| class="wikitable"<br />
|+<br />
|-<br />
|'''Innovation''' <br />
|[[File:hack2022-optare-outcome2.png|60px|center|class=img-responsive]]<br />
|Digital divide of 5g end edge in some areas because its complexity and the<br />
<br />
cost to bring. The mobile backhaul via vehicular net could help on that<br />
<br />
proposing a network and computation for agriculture and remote industries<br />
|-<br />
|'''Use-Case / Solution Credibility''' <br />
||[[File:hack2022-optare-outcome2.png|60px|center|class=img-responsive]]<br />
|Create a platform with capability for sending and receive data using the<br />
<br />
different edge covered areas and using cheap and autonomous equipment<br />
<br />
for a quick deployment. Integrated demo is created for hackathon<br />
|-<br />
|'''Use of ETSI MEC Services''' <br />
||[[File:hack2022-optare-outcome2.png|60px|center|class=img-responsive]]<br />
|MEC013 for location information, MEC012 for radio network information,<br />
<br />
MEC021 for mobility and depending on the availability of more than one<br />
<br />
sandbox mep, MEC030 related with V2X and the automotive blueprint<br />
<br />
MEC011 for application registration, mec service discovery<br />
|-<br />
|'''Use of LF Edge Akraino Blueprints''' <br />
||[[File:hack2022-optare-outcome2.png|60px|center|class=img-responsive]]<br />
|Checked the Elliot Manager and Nodes. Needs a continuum connectivity<br />
<br />
among the components and this is not possible in this architecture. Follow<br />
<br />
some APIs for upload new app images. Tested MEC-based Stable Topology<br />
<br />
Prediction for Vehicular Networks but similar and more evolved with MEC030<br />
|-<br />
|'''Deliverable''' <br />
||[[File:hack2022-optare-outcome2.png|60px|center|class=img-responsive]]<br />
|Developed all the sw components running in a demo environment. Designed<br />
<br />
the autonomous antenna (Spanish self delivery frequency and edge<br />
<br />
platform). Tested with a wifi connection and a static 5G antenna<br />
|-<br />
|}<br />
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[[File:Hack2022-Domino use case1.png|600px|center|top|class=img-responsive]]<br />
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= Project Videos = <br />
SOON<br />
<!-- <br />
* See the demo video of the project [[https://wiki.akraino.org/display/AK/ETSI-LF+Edge+Akraino+Hackathon+2022?preview=/61835204/61835620/DOMINO-DEMO-EQIX-5G-MEC.mp4 here] ]<br />
<br />
* See the presentation pitch at the Edge Computing World conference [[https://wiki.akraino.org/download/attachments/61835204/ETSI-LFE-HACKATHON-DOMINO.mp4 here]]<br />
<br />
--></div>Velezhttps://mecwiki.etsi.org/index.php?title=Hack2022_2nd_Prize&diff=4234Hack2022 2nd Prize2024-03-28T09:10:08Z<p>Velez: </p>
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<div><p class="left" style="font-size:26px;"> ←''[[ETSI_-_LF_MEC_Hackathon_2022|MEC Hackathon 2022]]''<p><br />
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<p class="center" style="font-size:34px;"><b>2<sup>nd</sup> Prize Award</b><p><br />
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<p class="center" style="font-size:34px;"><b> Virtualized mobile and edge infrastructures with OpenAPI integrations<br />
</b><p><br />
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= Team=<br />
[[File:hack2022-pedraforca_team.png|600px|center|top|class=img-responsive]]<br />
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Team '''Pedraforca''' <br />
from ''' CTTC ''' (Centre Tecnològic de Telecomunicacions de Catalunya) and ''' Vicomtech '''<br />
* Rasoul Nikbakht Silab, CTTC<br />
* Michail Dalgitsis, Vicomtech<br />
* Sarang Kahvazadeh, CTTC<br />
* Sergio Barrachina-Muñoz, CTTC<br />
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[[File:Edge Hackathon 2022 - 2nd Place.jpg|400px|center|top|class=img-responsive]]<br />
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<div class="panel-footer">From Left to right: Michail Dalgitsis (Vicomtech), Bob Gazda (InterDigital/Jury)</div> <br />
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= Introduction = <br />
<p><br />
We propose to integrate the MEC Radio Network Information Service (RNIS) API with Amarisoft RAN and edge infrastructure.</p><br />
<p>This integration enables monitoring/control of the RAN/edge resources. In addition, we use ML-based tools for (close to) optimum resource allocation and fulfillment of different KPIs such as bandwidth and latency.</p><br />
<p>To test our idea, we deploy a private 5G network with several edge nodes, where each node hosts an AR/VR application (a virtual classroom). </p><br />
<p>This proposal provides a real-life use-case and builds an open-source library that parses the MEC APIs to a commercial/research-based RAN product, which can be used by other teams for accelerating MEC API adoption.<br />
</p><br />
<br />
<br />
= Experimental scenario =<br />
<p class="center" style="font-size:22px;"><b>a MEC-enabled cloud-native 5G network with over-the-air transmissions</b><p><br />
<br />
<br><br />
<br />
== Infrastructure (core, edge and RAN) ==<br />
* The experimental scenario consists of a 5G network spanning three domains: core (at the cloud), edge (realized as MEC), and RAN (provided by a commercial gNB). <br />
<br />
* The core and edge domains consists of virtual machines acting as commercial/consumer off-the-shelf (COTS) servers and the virtual networks to interconnect them, so to provide computation/storage and networking resources, respectively. The RAN is realized using the Amarisoft Callbox as gNB.<br />
[[File:Hack2022-pedraforca-architecture.png|600px|center|top|class=img-responsive]]<br />
<br />
== Kubernetes / Cloud-native ==<br />
* Our deployment has a cloud-native flavor, hence both the network functions (NFs) in the core and the MEC applications running on the edge are realized as dockerized containers. <br />
<br />
* The 5G core NFs is based on the Open5GS open-source project. Remarkably, each NF runs as a separate containerized NF (CNF). To that aim, we relies on Kubernetes for easing the orchestration of a cluster composed of the core and edge nodes. Further, in order to enable MEC capabilities, we i) deploy UPF(s) at the edge, and ii) develop and implement a MEC platform (MEP) to pull metrics from the gNB so to provide the Radio Network Information Service (RNIS).<br />
<br />
<br />
== Integration of MEC API with Amarisoft RAN ==<br />
* ETSI MEC offers a plethora of open APIs to enable communication with edge and network resources. The one which is more related to interact with our 5G network implementation is the MEC012 RNIS API. <br />
<br />
* Specifically, for the RAN part we are working with a commercial solution such as the Amarisoft gNB, in which the connected users access the MEC applications. Therefore, an integration between Amarisoft RAN and RNIS is needed.<br />
<br />
* More specifically, the interaction between the user equipment or the 5G network administrators with Amarisoft is done through a proprietary WebSocket API. Thus, one of our main contributions is to map WebSocket actions to the RNIS API, in order to extract all the appropriate information for the users and their QoS requirements.<br />
<br />
== Deployment of virtual classroom application ==<br />
* Akraino virtual classroom blueprint is a classroom app simulator that provides a virtual reality classroom with teachers and students. In this simulated app, teachers and students can interact with each other.<br />
<br />
* The main components of Akraino virtual classroom blueprint are Jenkins Master, Tars Master, and Tars Agent with AR/VR client<br />
[[File:Hack2022-pedraforca-virtualclass.png|600px|center|top|class=img-responsive]]<br />
<br />
<br />
* These components are dockerized and deployed in a cloud-native fashion, in which the virtual classroom server runs over the Kubernetes infrastructure as a pod to conduct our experiment.<br />
<br />
<br />
== Decision engine ==<br />
''' ML-based control of the RAN and edge infrastructure using the data collected from MEC APIs '''<br />
<br><br />
* MEC APIs collect information about different components and parameters of the 5G networks. Using these APIs and ML-based tools, we can make a decision engine that monitors/adjusts the RAN and edge infrastructures to meet required KPIs or scale the deployed applications.<br />
<br />
* Regarding the RAN part, we evaluate the user latency and bandwidth and use RNIS API to adjust RAN parameters based on the service requirements. For instance, this setting can guarantee the students in the virtual classroom have sufficient bandwidth for streaming and low latency for interacting with classmates and teachers.<br />
<br />
* Regarding the edge infrastructure, other ETCI MEC APIs can be used for scaling the services and applications. We deploy ML-based tools to predict the demand for edge applications and scale up and down the services accordingly. In the case of the virtual classroom, each classroom could be seen as a different pod, and virtualized hardware resources can be allocated based on the classroom instance and the number of students.<br />
<br />
* Due to the limited resources available in the edge servers and 5G cells, the optimum resource allocation becomes a critical task. As a result, we plan to use different analytical and data-driven techniques to handle the resources in an (close to) optimal way.<br />
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[[File:Hack2022-Domino use case1.png|600px|center|top|class=img-responsive]]<br />
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= Software resources =<br />
Summarized any open-source or publicly available (even proprietary) software that you utilized <br />
* K8s (kubespray), Prometheus and Grafana<br />
* Open5Gs, UERANSIM, and Amarisoft (RAN)<br />
* Nginx, FFmpeg, docker-compose (video on demand streaming)<br />
* Pytorch, Gym, Flask (Machine learning part)<br />
* Swagger editor, Swagger generated server and client<br />
<br />
* A video-on-demand application which is publicly available at https://github.com/RasoulNik/VoD.git<br />
<br><br />
<br />
= Project Videos =<br />
''' SOON ''' <br />
<!-- <br />
* See the demo video of the project [[https://wiki.akraino.org/display/AK/ETSI-LF+Edge+Akraino+Hackathon+2022?preview=/61835204/61835620/DOMINO-DEMO-EQIX-5G-MEC.mp4 here] ]<br />
<br />
* See the presentation pitch at the Edge Computing World conference [[https://wiki.akraino.org/download/attachments/61835204/ETSI-LFE-HACKATHON-DOMINO.mp4 here]]<br />
<br />
--></div>Velezhttps://mecwiki.etsi.org/index.php?title=Hack2022_1st_Prize&diff=4233Hack2022 1st Prize2024-03-28T09:08:45Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:26px;"> ←''[[ETSI_-_LF_MEC_Hackathon_2022|MEC Hackathon 2022]]''<p><br />
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<p class="center" style="font-size:34px;"><b>1<sup>st</sup> Prize Award</b><p><br />
<br />
<p class="center" style="font-size:34px;"><b> MEC Service Federation for Location-aware IoT withDevOps MEC Infra Orchestration </b><p><br />
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= Team=<br />
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Team '''DOMINO''' ( '''D'''ev'''O'''ps '''M'''EC '''IN'''fra '''O'''rchestration ) <br />
* Oleg Berzin, Equinix<br />
* Vivekanandan Muthukrishnan, Aarna Networks<br />
with the support of :<br />
* Kavitha Papanna, Aarna Networks<br />
* Premkumar Subramaniyan, Aarna Networks<br />
* Sai Lakshmi Cheedella, Aarna Networks<br />
* Namachi S, Aarna Networks<br />
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[[File:Edge Hackathon 2022-winners.png|400px|center|top|class=img-responsive]]<br />
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<div class="panel-footer">From Left to right: Vivekanandan Muthukrishnan, Bob Gazda (Jury) , Oleg Berzin</div> <br />
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= Introduction = <br />
<p><br />
In our solution we use Akraino Public Cloud Edge Interface (PCEI) blueprint and MEC Location API service to demonstrate orchestration of federated MEC infrastructure and services, including:<br />
</p>• Bare metal, interconnection, virtual routing for MEC and Public Cloud IaaS/SaaS, across two operators/providers (a 5G operator and a MEC provider)<br />
<br />
• 5G Control and User Plane Functions<br />
<br />
• Deployment and operation of end-to-end cloud native IoT application making use of 5G access and distributed both across geographic locations and across hybrid MEC (edge cloud) and Public Cloud (SaaS) infrastructure<br />
<br />
• By orchestrating, bare metal servers and their software stack, 5G control plane and user plane functions, interconnection between the 5G provider and MEC provider, connectivity to a public cloud as well as the IoT application and the MEC Location API service, we show how it is possible for providers to enable sharing of their services in a MEC Federation environment.<br />
<br />
= Use Case Description =<br />
* Full details [//mecwiki.etsi.org/images/MEC_Service_Federation_for_Location-aware_IoT_with_DevOps_MEC_Infra_Orchestration_v3.pdf here]<br />
<br> <br />
[[File:Hack2022-Domino use case1.png|600px|center|top|class=img-responsive]]<br />
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[[File:Hack2022-Domino use case2.png|600px|center|top|class=img-responsive]]<br />
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[[File:Hack2022-Domino use case3.png|600px|center|top|class=img-responsive]]<br />
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[[File:Hack2022-Domino use case4.png|600px|center|top|class=img-responsive]]<br />
<br><br />
[[File:Hack2022-Domino use case5.png|600px|center|top|class=img-responsive]]<br />
<br><br />
<br />
<br />
= Project Videos = <br />
<br />
* See the demo video of the project [[https://wiki.akraino.org/display/AK/ETSI-LF+Edge+Akraino+Hackathon+2022?preview=/61835204/61835620/DOMINO-DEMO-EQIX-5G-MEC.mp4 here] ]<br />
<br />
* See the presentation pitch at the Edge Computing World conference [[https://wiki.akraino.org/download/attachments/61835204/ETSI-LFE-HACKATHON-DOMINO.mp4 here]]<br />
<br />
= Contributions & innovations =<br />
<p><br />
<br />
• A practical use case showing a realization of ETSI MEC Federation architecture</p>• An introduction and a functioning demonstration of MEC Federation Data Plane<br />
<br />
• Implementation of the GSMA OPG Edge Node sharing scenario using MEC Federation<br />
<br />
• Implementation of ETSI MEC Location API Service and its integration with a MEC application<br />
<br />
• Implementation of a combined MEC Federation Broker and MEC Orchestrator with unique capabilities for infrastructure orchestration in multiple domains such as public cloud, edge/MEC cloud, network operator, 5G control plane and user plane cloud native function deployment as well as cloud native service and application deployment<br />
<br />
• Implementation of integrated Terraform Infrastructure-as-Code module into the orchestrator enabling DevOps infrastructure orchestration<br />
<br />
= Software resources =<br />
<br />
• '''Terraform plans'''<br />
<br />
https://gitlab.com/akraino-pcei-onap-cds/terraform-plans/-/tree/main/etsi-lfedge-hackathon-2022<br />
<br />
• '''Ansible playbooks'''<br />
<br />
https://gitlab.com/akraino-pcei-onap-cds/ansible-scripts/-/tree/main/etsi-lfedge-hackathon-2022<br />
<br />
• '''Helm3 charts'''<br />
<br />
https://gitlab.com/akraino-pcei-onap-cds/equinix-pcei-poc/-/tree/main/helm3-charts/etsi-lfedge-hackathon-2022<br />
<br />
• '''Camunda workflows'''<br />
<br />
https://gitlab.com/akraino-pcei-onap-cds/camunda-bpmn-samples/-/tree/main/etsi-lfedge-hackathon-workflow</div>Velezhttps://mecwiki.etsi.org/index.php?title=Hack2023_3rd_Prize&diff=4232Hack2023 3rd Prize2024-03-28T09:05:38Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:26px;"> ←''[[ETSI_-_LF_-_OCP_-_MEC_Hackathon_2023|MEC Hackathon 2023]]''<p><br />
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{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}}<br />
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<p class="center" style="font-size:34px;"><b>3<sup>rd</sup> Prize Award</b></p><br />
<br />
<p class="center" style="font-size:34px;"><b> Palc Networks</b></p><br />
<br />
<p class="center" style="font-size:25px;"> Predictive Maintenance of Hardware</p><br />
<br />
<br><br />
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= Team =<br />
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[[File:Palc1.png|400px|class=img-responsive]]<br />
Team '''Palc''' from '''Palc networks'''<br />
* Pal Vijay<br />
* Kesavan Vignesh<br />
* CR ShivaShankar <br />
* Sharma Vishwas<br />
* Sharma Sarthak<br />
<br><br />
[[File:Palc3.png|300px|class=img-responsive]]<br />
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= Introduction = <br />
<p><br />
In our interconnected world, smart systems have become an integral part of our lives, promising automation, convenience, and security. These systems encompass 5G, IoT, and data centers, playing a pivotal role in our daily routines. However, beneath their veneer of seamless operation lies a critical challenge.</p><br />
<p><br />
Our mission is to address the heart of this challenge—hardware failures in smart systems. We initiate this mission with a focus on hard drives, recognizing their centrality in data centers and the broader smart ecosystem. The data center's continuous operation depends on the relentless reliability of hard drives, making their potential failures a critical issue</p><br />
<p><br />
Our solution addresses the challenge of hardware failures in smart systems, commencing with hard drives as the initial focus. The main features of our solution include:</p><br />
<p><br />
<p>● '''Machine Learning-Based Predictive Model''': We employ a powerful machine learning model based on the One-Class Support Vector Machine (SVM) algorithm. This model excels in identifying anomalies within data, making it ideal for predicting hard drive failures.</p><br />
<p>● '''SMART Attributes Analysis''': We focus on five key SMART attributes (SMART 5, SMART 187, SMART 188, SMART 197, and SMART 198) to assess hard drive health, providing insights into potential failure risks.</p><br />
<p>● '''Imbalanced Data Handling''': Our model effectively addresses data imbalance challenges, a common issue in hard drive failure prediction, by distinguishing between operational and failed drives.</p><br />
<p>● '''Real-time Predictions''': Our solution continuously monitors SMART attributes and provides real-time predictions, enabling proactive maintenance to minimize downtime.</p><br />
<p>● '''Resource Optimization''': By predicting hard drive failures, we optimize resource allocation, reducing the need for reactive maintenance and minimizing resource wastage.</p><br />
<p>● '''Cost Reduction''': Proactively replacing failing drives reduces maintenance costs and the risk of data loss.</p><br />
<br />
[[File:Palc-flow.png|700px|center|top|class=img-responsive]]<br />
<br />
<br><br />
<br />
= Project Videos = <br />
{{#evu:https://www.youtube.com/watch?v=HPG_Ogd_GTk<br />
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}}</div>Velezhttps://mecwiki.etsi.org/index.php?title=Hack2023_2nd_Prize&diff=4231Hack2023 2nd Prize2024-03-28T09:05:15Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:26px;"> ←''[[ETSI_-_LF_-_OCP_-_MEC_Hackathon_2023|MEC Hackathon 2023]]''<p><br />
<br><br />
{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}}<br />
<br />
<p class="center" style="font-size:34px;"><b>2<sup>nd</sup> Prize Award</b></p><br />
<br />
<p class="center" style="font-size:34px;"><b> Project Sheikah Tower </b></p><br />
<br />
<p class="center" style="font-size:25px;"> AI Assistants powered by local people </p><br />
<br />
<p class="center" style="font-size:25px;">Enhance usefulness based on time and place </p><br />
<br />
<br><br />
<br />
= Team=<br />
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[[File:Sheikak1.png|300px|class=img-responsive]]<br />
<p>from '''Google LLC''' and '''Peking University'''</p><br />
* Qi Tang - Senior Hardware Engineer - Google<br />
* Yi Han - Google<br />
* Sharu Jiang - Peking University<br />
<br><br />
[[File:Sheikah4.png|400px|class=img-responsive]]<br />
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[[File:Sheikak2.png|700px|center|top|class=img-responsive]]<br />
<br />
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<br><br />
= Introduction = <br />
<p><br />
Edge Native Real-time Voice AI Assistant provides local-info enhanced language and speech services (e.g. real-time translation and AI voice-bot) using the state-of-the-art AI models. </p><br />
<p><br />
The key features are the real-time streaming services by edge computing. We will also leverage the ETSI MEC APIs to fine-tune or prompt the LLM with available local information (such as dialects, geographics, local culture) to provide faster and more useful user contents. We will demonstrate the advantages of edge computing compared to traditional on-device and cloud based services. The end user interfaces can be mobile devices, wearables, IoTs, robots and/or vehicles.</p><br />
<br />
<p>Main Features: </p><br />
<br />
<p>● Users can easily find the nearby virtual assistants from a map view by leveraging MEC APIs</p><br />
<p>● Local AI virtual assistant indexed by ZoneID and CellID </p><br />
<p>● “Local” means the Vector Database and Prompts are location dependent</p><br />
<p>● The Vector database and Prompts are uploaded and designed by the local business owners; </p><br />
<p>● The virtual assistants can be sophisticated / the-state-of-art AI models serving as a real-time language interpreter (For example, Meta’s latest Speech-to-Speech Massive Language models) which also can be found by the user from the map (as long as it is within the same ZoneID or CellID)</p><br />
<p>● The finding range can be also flexible: for example, indoor localization information from MEC APIs which is used serving for a museum exhibit tour (room specific) or a city tour based on the user’s device GPS signal</p><br />
<p>● The app is agnostic to various user end devices because computation, memory and location information is not on device per se. We choose iOS for demonstration purpose only.</p><br />
<br />
<br />
<br />
[[File:Sheikah-archi.png|600px|center|top|class=img-responsive]]<br />
[[File:Sheikah-map.gif|300px|center|top|class=img-responsive]]<br />
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= Software resources =<br />
<br />
• '''Project repository'''<br />
<br />
https://github.com/Dako2/sheikah-tower.git<br />
<br />
= Project Videos = <br />
{{#evu:https://www.youtube.com/watch?v=zmEYpDqo0FU<br />
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}}</div>Velezhttps://mecwiki.etsi.org/index.php?title=Hack2023_1st_Prize&diff=4230Hack2023 1st Prize2024-03-28T09:04:39Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:26px;"> ←''[[ETSI_-_LF_-_OCP_-_MEC_Hackathon_2023|MEC Hackathon 2023]]''<p><br />
<br><br />
{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}}<br />
<br />
<p class="center" style="font-size:34px;"><b>1<sup>st</sup> Prize Award</b><p><br />
<br />
<p class="center" style="font-size:34px;"><b> Managing natural resources using AI, Edge Computing and Advanced Communication<br />
<br />
</b><p><br />
<br />
<br><br />
<br />
= Team=<br />
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Team '''Green Cyclops''' from '''Optare Solutions'''<br />
* Xose Ramon Sousa Vazquez<br />
* Santiago Rodriguez Garcia <br />
* Fernando Lamela Nieto <br />
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<br />
= Introduction = <br />
<p><br />
A computer vision platform or ecosystem that utilizes 5G, edge computing, and AI to handle<br />
multiple video stream sources from various devices such as drones, fixed cameras, and IoT<br />
sensors. </p><br />
<p><br />
This platform aims to enable the application of different AI detection and analytic<br />
models based on user selection. </p><br />
<p><br />
The inference process takes place at the edge, where computational resources are shared to execute AI models relevant to different scenarios, including forest fire and smoke detection, wildlife control, and deforestation.<br />
</p><br />
<br />
<br />
[[File:Green-cyclops.png|800px|center|top|class=img-responsive]]<br />
<br><br />
The key components and functionalities of this computer vision platform can be described as<br />
follows:<br />
<p><br />
• Video Stream Management: The platform receives and manages multiple video<br />
streams and information from diverse sources, such as drones, fixed cameras, and IoT<br />
sensors. These streams are transmitted via the high-speed and low-latency capabilities<br />
of a 5G network.<br />
</p><br />
<p><br />
• IoT Events Management: The platform receives and manages multiple events from<br />
devices placed on the ground to add information to the use cases in the described<br />
scenario. </p><br />
<p><br />
• Edge Computing: The platform leverages edge computing infrastructure, which brings<br />
computational resources closer to the video sources. This allows for real-time analysis<br />
and decision-making at the network edge, reducing the need for data transmission to a<br />
central server or cloud. Edge computing facilitates faster response times and more<br />
efficient resource utilization.</p><br />
<p><br />
• AI Detection and Analytic Models: The platform supports the selection and deployment<br />
of different AI detection and analytic models based on specific requirements. For<br />
example, models can be chosen for forest fire and smoke detection, wildlife monitoring,<br />
or deforestation analysis. These models utilize computer vision techniques, such as<br />
object detection, image classification, and semantic segmentation, to extract<br />
meaningful information from the video streams.</p><br />
<p><br />
• Model Inference at the Edge: The selected AI models are executed at the edge<br />
computing nodes, where the necessary computational resources are available. This<br />
eliminates the need to transmit large volumes of video data to a centralized server or<br />
cloud for inference. By performing inference at the edge, the platform achieves<br />
real-time analysis and enables quick response to detected events or anomalies.</p><br />
<p><br />
• Resource Sharing: allowing for the simultaneous execution of multiple AI models on<br />
different video streams. This flexibility enables efficient resource allocation and<br />
scalability to handle varying workloads.</p><br />
<p><br />
• Scenario-Specific Applications: The platform is adaptable and customizable to address<br />
a wide range of use cases.</p><br />
<p><br />
• Cloud Management Applications: The platform delivers cloud components for high level<br />
supervision and management purposes, as well as use case configuration to be<br />
deployed over the edge nodes.</p><br />
<p><br />
• Sustainable applications: All the AI applications will be measured in terms of energy<br />
consumption making smart decisions on how to run trying to make a sustainable<br />
context</p><br />
<p><br />
• The offloading of the AI to the edge makes more efficient the drone consumption<br />
helping in the autonomy of the UAVs<br />
<br />
</p><br />
<br />
<br />
<br><br><br />
= Software resources =<br />
<br />
• '''Project repository'''<br />
<br />
https://github.com/flamela/green-cyclops-etsi-hack23<br />
<br />
Web App for Managing green cyclops Edge app and model ecosystem as well as dashboard representations.<br />
<br />
Need to be complemented with backend API not availbale in this repo, that is only uploaded to be used as inspiration or reusability, for another teams.<br />
[[File:Github-optare.png|600px|center|class=img-responsive]]<br />
<br />
<br />
= Project Videos = <br />
<br />
<br />
<br />
{{#evu:https://www.youtube.com/watch?v=zmEYpDqo0FU<br />
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}}</div>Velezhttps://mecwiki.etsi.org/index.php?title=MEC_Hackathon_2018_Beijing&diff=4229MEC Hackathon 2018 Beijing2024-03-26T17:51:49Z<p>Velez: </p>
<hr />
<div><br />
__NOTOC__<br />
<br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
[[File:2018-hack-beijing-poster2.png|500px|center|top|class=img-responsive]] <br />
<br><br />
<br />
== Organization ==<br />
<br />
* The event in Beijing was hosted by China Mobile, China Telecom, China Unicom and Huawei, and organized by CCSA, Huawei, Intel and SDN/NFV Industry Alliance.<br />
<br />
<br />
__TOC__<br />
<br />
<br />
== Winner team ==<br />
* China Mobile Research Institute and Neusoft received the Application Innovation Award for “Low-latency intelligent image identification based on edge computing”. <br />
<br />
* China Unicom and Shenzhen Santu Tech’s “MEC edge cloud 3D holographic E2E service solution” was named Best Application Prospect. <br />
<br />
* The “Smart eye” solution by CTBRI received Best Technology Innovation Award <br />
<br />
* The Best Technical Contribution Award went to “Cloud goods identification of MEC-based computing prioritized network” developed by China Mobile Research Institute and Huawei 2012 Laboratories.<br />
<br />
* In addition, five other teams were rewarded with Excellence Awards.<br />
<br><br />
[[File:2018-hack-beijing-poster.png|500px|center|top|class=img-responsive]] <br />
<br />
<br></div>Velezhttps://mecwiki.etsi.org/index.php?title=MEC_Hackathon_2018_Turin&diff=4228MEC Hackathon 2018 Turin2024-03-26T17:51:21Z<p>Velez: </p>
<hr />
<div><br />
__NOTOC__<br />
<br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
<br />
[[File:2018-hack-turin-poster.png|500px|center|top|class=img-responsive]] <br />
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<br />
== Organization ==<br />
'''1st MEC HACKATHON AND EDGE CLOUD ITALY 2018'''<br />
<br />
<br />
* '''Challenge ''': Develop advanced mobile applications for automotive infotainment services<br />
in 5G enabled ETSI-MEC networks.<br />
<br />
* '''Location''': 18 September 2018 9.00-18.00 at I3P, Via Pier Carlo Boggio 59, Turin <br />
<br />
The possibilities that open up with the interaction between Edge Computing and 5G are really many.<br />
Just as there are more and more sectors in which these possibilities constitute real opportunities.<br />
<br />
To come to the rescue of the developers is the MEC framework ( Multi-Access Edge Computing ), which was developed to facilitate the task of developing applications always better , always faster and in a way more easier .<br />
<br />
If you and your team are working on a MEC application for 5G, thinking they can improve life in cars, the hackathon for you is coming: on September 18th , from 9 to 18, the Sala I3P's Agorà will turn into the laboratory of the applications of the future with the first edition of the MEC Hackathon !<br />
[[File:2018-hack-turin-room2.png|500px|center|top|class=img-responsive]] <br />
<br />
__TOC__<br />
<br />
== Technical Challenge ==<br />
<br />
The automotive sector is one of the main areas of application of Edge Computing and 5G, during the hackathon develop with your team infotainment solutions for cars , mobile on-car solutions using ETSI MEC technologies.<br />
<br />
During the hackathon you will be able to learn - and exploit - the ETSI MEC APIs , made available on the MEC hosts during the competition, to develop Entertainment, VR, AR applications (“EVA app”).<br />
<br />
Not only that: you and your team can challenge yourself in a real-case simulation , to support typical connected vehicle or self-driving use cases (you can see examples of automotive use cases here ).<br />
<br />
<br />
<br />
== Winner team ==<br />
* The winner of the Turin Hackathon, '''JARVIS''', put forward a solution that exploited MEC’s performance capabilities within vehicles’ collision avoidance systems. Their prize was inclusion in the city of Turin’s Smart Road project, providing the possibility of implementing and testing the application within a live 5G automotive infrastructure trial in the urban environment of Turin.<br />
[[File:2018-hack-turin-room3.png|500px|center|top|class=img-responsive]] <br />
<br />
<br><br />
* Five brave students from Politecnico di Torino accepted the challenge posed by the hackathon: they are Fabio Cermelli, Eugenio Gallea, Lorenzo Moro, Stefano Roagna, and Nunzio Turco. Fabio and Lorenzo are also members of the IEEE Eta-Kappa-Nu association. Working together and combining their specific individual skills, they built a prototype of a system, called Jarvis, that they describe as follows:<br />
<p><br />
''"Our idea aims at being a help for the drivers, especially the novice ones, and in particular to notify possible dangers in upcoming intersections. By exploiting the MEC technology we may notify, nearly in real time, the drivers of other approaching vehicle that could constitute a danger. The intelligence that we added to the infrastructure allows us to provide the data for computing vehicle position and speed, and to detect when such situations might happen. The MEC is then used also to broadcast a warning to all vehicles in a certain area.”''<br />
</p><br />
<br><br />
* The project has been awarded the possibility of implementing and testing it on the “Smart Roads” infrastructure (a live 5G automotive trial in the urban environment of Turin (Italy)).<br />
<br><br />
* GitHub repositories with the prototype: [//github.com/fcdl94/MECHack server], [//github.com/EugenioGallea/ACTelemetryClient client ]<br />
<br><br />
* Presentation slides for the Jarvis prototype: [//mecwiki.etsi.org/images/2018-hack-turin-Jarvis.pdf here]<br />
<br></div>Velezhttps://mecwiki.etsi.org/index.php?title=MEC_Hackathon_2018_Berlin&diff=4227MEC Hackathon 2018 Berlin2024-03-26T17:50:34Z<p>Velez: </p>
<hr />
<div><br />
__NOTOC__<br />
<br />
<br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
[[File:2018-banner.png|1200px|center|top|class=img-responsive]] <br />
<br><br />
<br />
== Organization == <br />
=== Details ===<br />
ETSI together with its partners organized the 1st ETSI MEC Hackathon in Berlin during the Edge Computing Congress organized by KNect365 from 18 to 20 September 2018.<br />
The organizing committee called for developers in Edge Computing and 5G to submit their teams to participate in a competition developing advanced mobile applications for automotive infotainment services in ETSI MEC-enabled 5G networks.<br />
The competitors were asked to develop Entertainment and/or VR/AR applications (“EVA apps”), as in-car mobile solutions using ETSI MEC technologies for riders.<br />
[[File:2018-hack-details.png|500px|center|top|class=img-responsive]] <br />
<br />
__TOC__<br />
<br />
=== Supporting organizations ===<br />
[[File:2018-hack-supporters.png|800px|center|top|class=img-responsive]] <br />
<br />
<br />
<br />
=== Hackathon phases: ===<br />
* Call-for-developers: [//www.etsi.org/images/files/Events/2018/1st_ETSI_MEC_HACKATHON/1st_ETSI_MEC_Hackathon_Call_for_Developers.pdf here]<br />
* YouTube videoclip showing the usage of MEC APIs: [//youtu.be/jiXun7NiQgg https://youtu.be/jiXun7NiQgg ]<br />
* Example of MEC Case Study provided to developers: [//forge.etsi.org/mec/mec_case_study.PDF here]<br />
* Q&A on MEC Hackathon 2018: [//wiki.plugtests.net/MECHackathon1/index.php/FAQ here]<br />
<br />
<br><br />
=== Jury members ===<br />
[[File:2018-hack-jury.png|800px|center|top|class=img-responsive]] <br />
<br><br />
== Technical challenge == <br />
<br />
[[File:2018-hack-challenge.png|800px|center|top|class=img-responsive]] <br />
<br><br />
<br />
== Awards ==<br />
=== Prizegiving day ===<br />
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<br />
=== Winner team ===<br />
<br />
The winner, EDGEGAP, proposed a solution for real-time optimization of multi-player games. This was installed on two MEC platforms – Saguna, based on virtual machines, and Huawei, based on containers – demonstrating the portability of MEC apps.<br />
[[File:2018-hack-winner.png|400px|center|top|class=img-responsive]] <br />
<br><br />
{{#evu:https://www.youtube.com/watch?app=desktop&v=o9mqc0jcBRc&feature=youtu.be<br />
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<br></div>Velezhttps://mecwiki.etsi.org/index.php?title=MEC_Hackathon_2019_Akraino&diff=4226MEC Hackathon 2019 Akraino2024-03-26T17:49:19Z<p>Velez: </p>
<hr />
<div><br />
__NOTOC__<br />
<br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
<br />
[[File:2019-hack-akraino-banner.png|800px|center|top|class=img-responsive]] <br />
<br><br />
<br />
== Organization == <br />
=== Details ===<br />
<p>LF Edge and Akraino are teaming up with ETSI MEC (Muli-access Edge Computing) for a combined hackathon focused on 5G, happening ahead of KubeCon + CloudNativeCon North America on November 18 in San Diego, CA.</p><br />
<br />
<p><br />
More than 76 developers gathered to participate in the Akraino 5G MEC Hackathon, sponsored by LF Edge, China Mobile Technology, ETSI and ETSI MEC.</p><br />
* Venue Host: Qualcomm campus in San Diego (US), a breakout venue in Columbia University <br />
<br><br />
* Blueprint/Solution 1: Micro-MEC and ETSI MEC wanted to hack using Micro-MEC platform with API which are compliant to ETSI MEC standard.<br />
** [//wiki.akraino.org/display/AK/MicroMEC //wiki.akraino.org/display/AK/MicroMEC]<br />
<br><br />
* Guide for developers with uMEC at Akraino Hackathon (November 12, 2019): <br />
** [//docs.google.com/presentation/d/1N2w8kqChOl0fTSBbTWFAxhhLTkqK1pYl5cOxVkEi9iw/edit#slide=id.p1 presentation]<br />
[[File:2019-hack-akraino-group.png|800px|center|top|class=img-responsive]] <br />
<br><br />
<br />
__TOC__<br />
<br />
=== Supporting organizations ===<br />
* Sponsors: Arm, Broadcom, CMTI 5G ICSV, ETSI, Futurewei, MobiledgeX and Tars<br />
<br />
<br><br />
== Technical challenge == <br />
* Different blueprints and solutions will be worked through in real time, including: Micro-MEC, AR/VR, 5G MEC edge stack accelerated with SmartNICs, and more. <br />
* For the hackathon competition, we also featured a top prize of $1000 and $500 for the runner-up teams<br />
[[File:2019-hack-akraino-room.png|800px|center|top|class=img-responsive]] <br />
<br />
<br><br />
<br />
<br />
== Winner team ==<br />
<big>'''1st Prize: Team Planet'''</big><br />
[[File:2019-hack-akraino-winners.png|600px|center|top|class=img-responsive]] <br />
<br><br />
* See hackathon winners Insights at : [//www.lfedge.org/2020/01/28/akraino-5g-mec-hackathon-winners-insights-and-more/ www.lfedge.org/2020/01/28/akraino-5g-mec-hackathon-winners-insights-and-more/]</div>Velezhttps://mecwiki.etsi.org/index.php?title=MEC_Hackathon_2019_Shenzhen&diff=4225MEC Hackathon 2019 Shenzhen2024-03-26T17:47:09Z<p>Velez: </p>
<hr />
<div><br />
__NOTOC__<br />
<br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
<br />
[[File:Shenzhen.jpg|500px|center|top|class=img-responsive]] <br />
<br><br />
<br />
== Organization == <br />
=== Details ===<br />
The event in Shenzhen (China) was organized by Huawei, CCSA, SDN/NFV/AI Industry Alliance, China Mobile, China Telecom, China Unicom, CAICT and Peng Cheng Lab and endorsed by ETSI and IMT2020 (5G).<br />
<br />
The organizers accepted 12 of some 50 applicant teams to the finals to demonstrate their applications in a MEC system that was integrated with a live 5G network (Huawei & CMCC). <br />
<br />
After a full day of demonstrations, pitch talks and technical Q&As six of the teams were rewarded in the Winning Awards category and the other six got the Best of Awards for their innovative solutions. <br />
<br />
The jury of the event included experts from CCSA, SDN/NFV/AI Industry Alliance, Huawei, CMCC, China Telecom, China Unicom, CAICT and PengCheng Lab.<br />
<br />
* Press Release of the event: [//www.etsi.org/committee?id=1648 here] <br />
__TOC__<br />
<br><br />
<br />
== Technical challenge == <br />
* The competition was open to developers to test their applications with ETSI MEC APIs (Application Programming Interfaces) in a variety of use cases.<br />
<br><br />
* Teams developed mobile applications for advanced services in MEC-enabled 5G networks, using ETSI MEC technologies. They were also required to onboard their applications in real-life MEC systems and connect with the MEC APIs to receive simulated in-network data.<br />
<br />
<br><br />
<br />
[[File:image-hackathon-china-winner.jpg.png|800px|class=img-responsive]]</div>Velezhttps://mecwiki.etsi.org/index.php?title=MEC_Hackathon_2019_London&diff=4224MEC Hackathon 2019 London2024-03-26T17:46:40Z<p>Velez: </p>
<hr />
<div><br />
__NOTOC__<br />
<br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
<br />
[[File:London.jpg|500px|center|top|class=img-responsive]] <br />
<br><br />
<br />
== Organization == <br />
<br />
The London MEC Hackathon was hosted at the Edge Computing Congress 2019 on 17-18 September 2019.<br />
<br />
The event was organized by Intel, VIAVI, Telefonica, Huawei, Saguna, Informa Tech and MobiledgeX,<br />
[[File:2019-hack-london-supporters.png|800px |center|class=img-responsive]]<br />
<br><br />
<p class="center"> and endorsed by [[File:ETSI-logo.png|200px |class=img-responsive|link=https://www.etsi.org]] </p><br />
<br />
* See [//mecwiki.etsi.org/images/2019_mec-hackathon-london-2019-call-for-developers.pdf Call-For-Developers]<br />
<br />
* Press Release of the event: [//www.etsi.org/committee?id=1648 here] <br />
<br />
__TOC__<br />
<br />
<br><br />
<br />
== Technical challenge == <br />
* MEC (Multi-access Edge Computing) can serve many key 5G use cases. Most of them are related to application scenarios specifically targeted to vertical markets of the 5G era. <br />
* The purpose of this Hackathon is to demonstrate the usage of MEC system as an enabler for different use cases and business objectives, helping all stakeholders to develop a diverse, open MEC ecosystem.<br />
[[File:2019-hack-london-logo.png|400px|center|top|class=img-responsive]] <br />
* The competition was open to developers to test their applications with ETSI MEC APIs (Application Programming Interfaces) in a variety of use cases.<br />
* Examples of MEC-enabled vertical segments applications include (but are not limited to):<br />
** automotive and cooperative vehicles<br />
** virtual reality / augmented reality<br />
** IoT scenarios (with sensors, fog nodes, …)<br />
** robotics and factories of the future<br />
** eHealth and mHealth<br />
** media and entertainment<br />
** applications for the energy industry<br />
** etc …<br />
<br />
[[File:2019-hack-london-network.png|900px|center|top|class=img-responsive]] <br />
<br><br />
* Teams developed mobile applications for advanced services in MEC-enabled 5G networks, using ETSI MEC technologies. They were also required to onboard their applications in real-life MEC systems and connect with the MEC APIs to receive simulated in-network data.<br />
<br />
<br><br />
<br />
<br />
== Winner team ==<br />
<br />
The MEC Hackathon 2019 winner in London, QC-LABS, showcased the "Rehearsal Room" app, an online space for musicians to help them practice together remotely in real-time with MEC — like a web conferencing tool but optimized for playing instruments. <br />
<br />
Rehearsal Room leveraged Multi-access Edge Computing to reduce latency and allow musicians to rehearse without a commute! The QC-LABS team provides services for Internet of Things and Industry 4.0 solutions.<br />
[[File:Image-hackathon-uk-winner.jpg|500px|center|top|class=img-responsive]] <br />
<br></div>Velezhttps://mecwiki.etsi.org/index.php?title=MEC_Hackathon_2020_China&diff=4223MEC Hackathon 2020 China2024-03-26T17:45:35Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
<big><br />
= Winners awarded at the ETSI endorsed MEC Hackathon =<br />
<br />
</big><br />
[[File:Third hackathon china.jpg|800px|class=img-responsive ]]<br />
<p>'''Sophia Antipolis, 31 May 2021''': Following the 3rd MEC Hackathon China which took place in November 2020, an Award Ceremony was organized in Beijing last April. <br />
</p><br />
<br />
<br />
<p>MEC is a key enabler driving the digital transformation of diverse industries, including manufacture, transportation, energy, education, healthcare, etc. Focusing on the commercial use cases of MEC in various industries, the 3rd MEC Hackathon China attracts participants from universities, open-source communities, vertical sectors, and the telecom industry who introduce innovative MEC applications, hence fostering new solutions for large-scale commercial uses.<br />
</p><br />
<br />
<p>The 3rd MEC Hackathon China was jointly organized and hosted by Huawei, CCSA, SNAI, China Mobile, China Unicom and China Telecom and was endorsed by ETSI and IMT-2020. The contest explored potential commercial scenarios and business models of MEC to further integrate with 5G technologies in industry.<br />
</p><br />
<br />
<br />
<p>Among the 13 teams enrolled in the final contest, six were awarded the "Excellence Award", covering multiple industries such as automatic driving, smart manufacturing, and smart smelting. <br />
</p><br />
<p> The "Excellence Award" includes the following use cases: <br />
<br />
<ul><br />
<li>Zhejiang Dahua Technology for 5G smart campus: visualization of campus data, alarm notification and auxiliary judgement.</li><br />
<br><br />
<br />
<li>DALU Robotech Technology for 5G + security robot: a combination of MEC and robot technology to support security patrol, epidemic prevention, temperature measurement.</li><br />
<br><br />
<li>Changsha Jimu AI Technology for non-printed character identification: real time identification of billet, steel plate number.</li><br />
<br><br />
<li>XENIRO (Shanghai) and China Mobile for OpenSigma EaaS solution: platform enabling an Equipment as a Service (EaaS) business.</li><br />
</ul><br />
<br />
</p><br />
<br><br />
<p>For more details, on the MEC Hackathon 2020 China, please visit the following event web page <br />
</p><p>[//www.huawei.com/en/news/2021/4/4th-mec-hackathon www.huawei.com/en/news/2021/4/4th-mec-hackathon]<br />
</p></div>Velezhttps://mecwiki.etsi.org/index.php?title=MEC_Hackathon_2020_China&diff=4222MEC Hackathon 2020 China2024-03-26T17:44:42Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
<big><br />
= Winners awarded at the ETSI endorsed MEC Hackathon =<br />
<br />
</big><br />
[[File:Third hackathon china.jpg|800px|class=img-responsive ]]<br />
<p>'''Sophia Antipolis, 31 May 2021''': Following the 3rd MEC Hackathon China which took place in November 2020, an Award Ceremony was organized in Beijing last April. <br />
</p><br />
<br />
<br />
<p>MEC is a key enabler driving the digital transformation of diverse industries, including manufacture, transportation, energy, education, healthcare, etc. Focusing on the commercial use cases of MEC in various industries, the 3rd MEC Hackathon China attracts participants from universities, open-source communities, vertical sectors, and the telecom industry who introduce innovative MEC applications, hence fostering new solutions for large-scale commercial uses.<br />
</p><br />
<br />
<p>The 3rd MEC Hackathon China was jointly organized and hosted by Huawei, CCSA, SNAI, China Mobile, China Unicom and China Telecom and was endorsed by ETSI and IMT-2020. The contest explored potential commercial scenarios and business models of MEC to further integrate with 5G technologies in industry.<br />
</p><br />
<br />
<br />
<p>Among the 13 teams enrolled in the final contest, six were awarded the "Excellence Award", covering multiple industries such as automatic driving, smart manufacturing, and smart smelting. <br />
</p><br />
<p> The "Excellence Award" includes the following use cases: <br />
<br />
<ul><br />
<li>Zhejiang Dahua Technology for 5G smart campus: visualization of campus data, alarm notification and auxiliary judgement.</li><br />
<br><br />
<br />
<li>DALU Robotech Technology for 5G + security robot: a combination of MEC and robot technology to support security patrol, epidemic prevention, temperature measurement.</li><br />
<br><br />
<li>Changsha Jimu AI Technology for non-printed character identification: real time identification of billet, steel plate number.</li><br />
<br><br />
<li>XENIRO (Shanghai) and China Mobile for OpenSigma EaaS solution: platform enabling an Equipment as a Service (EaaS) business.</li><br />
</ul><br />
<br />
</p><br />
<br><br />
<p>For more details, on the MEC Hackathon 2020 China, please visit the following event web page <br />
</p><p>https://www.huawei.com/en/news/2021/4/4th-mec-hackathon<br />
</p></div>Velezhttps://mecwiki.etsi.org/index.php?title=MEC_Hackathon_2020_China&diff=4221MEC Hackathon 2020 China2024-03-26T17:44:17Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
<big><br />
= Winners awarded at the ETSI endorsed MEC Hackathon =<br />
<br />
</big><br />
[[File:Third hackathon china.jpg|800px|class=img-responsive ]]<br />
<p>'''Sophia Antipolis, 31 May 2021''': Following the 3rd MEC Hackathon China which took place in November 2020, an Award Ceremony was organized in Beijing last April. <br />
</p><br />
<br />
<br />
<p>MEC is a key enabler driving the digital transformation of diverse industries, including manufacture, transportation, energy, education, healthcare, etc. Focusing on the commercial use cases of MEC in various industries, the 3rd MEC Hackathon China attracts participants from universities, open-source communities, vertical sectors, and the telecom industry who introduce innovative MEC applications, hence fostering new solutions for large-scale commercial uses.<br />
</p><br />
<br />
<p>The 3rd MEC Hackathon China was jointly organized and hosted by Huawei, CCSA, SNAI, China Mobile, China Unicom and China Telecom and was endorsed by ETSI and IMT-2020. The contest explored potential commercial scenarios and business models of MEC to further integrate with 5G technologies in industry.<br />
</p><br />
<br />
<br />
<p>Among the 13 teams enrolled in the final contest, six were awarded the "Excellence Award", covering multiple industries such as automatic driving, smart manufacturing, and smart smelting. <br />
</p><br />
<p> The "Excellence Award" includes the following use cases: <br />
<br />
<ul><br />
<li>Zhejiang Dahua Technology for 5G smart campus: visualization of campus data, alarm notification and auxiliary judgement.</li><br />
<br><br />
<br />
<li>DALU Robotech Technology for 5G + security robot: a combination of MEC and robot technology to support security patrol, epidemic prevention, temperature measurement.</li><br />
<br><br />
<li>Changsha Jimu AI Technology for non-printed character identification: real time identification of billet, steel plate number.</li><br />
<br><br />
<li>XENIRO (Shanghai) and China Mobile for OpenSigma EaaS solution: platform enabling an Equipment as a Service (EaaS) business.</li><br />
</ul><br />
<br />
</p><br />
<br><br />
<p>For more details, on the MEC Hackathon 2020 China, please visit the following event web page <br />
</p><p>//www.huawei.com/en/news/2021/4/4th-mec-hackathon<br />
</p></div>Velezhttps://mecwiki.etsi.org/index.php?title=Droidcon_MEC_Hackathon_2020&diff=4220Droidcon MEC Hackathon 20202024-03-26T17:43:43Z<p>Velez: </p>
<hr />
<div>__NOTOC__<br />
<br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
<br />
[[File:2020-hackathon-banner1.jpg|1200px|center|top|class=img-responsive]] <br />
<br><br />
<br />
= Organization = <br />
=== Details ===<br />
The successful last edition of MEC Hackathons endorsed by ETSI took place on 25 to 26 November and was hosted by Droidcon Italy 2020 as a fully virtual event. The competition was open for developers to test their applications with ETSI MEC APIs (Application Programming Interfaces) in a variety of use cases.<br />
[[File:2020-hack-banner2.png|800px|center|top|class=img-responsive]] <br />
<br>The organizing committee received a total of 14 submissions, including several topics, from Augmented Reality for Construction Sector, to consumer, media and entertainment application, to automotive services. <br />
<br />
Admitted teams were offered remote access to MEC servers and software platforms to develop mobile applications for advanced services in MEC-enabled 5G networks, using ETSI MEC technologies. <br />
<br />
They were also required to onboard their applications in real-life MEC systems and connect with the MEC APIs to receive simulated in-network data.<br />
<br />
__TOC__<br />
<br />
=== Supporting organizations ===<br />
The Droidcon MEC Hackathon 2020 was organized by Intel, CISCO, TIM, Equinix and LINKS Foundation, and endorsed by ETSI and with the support of GSMA and Turin City.<br />
[[File:2020-hack-supporters.png|800px|center|top|class=img-responsive]] <br />
<br />
<br />
<br />
=== Hackathon phases: ===<br />
* April 2020 – publication of the [https://www.etsi.org/images/files/Events/2020/Droidcon_MEC_Hackathon/Droidcon-MEC-Hackathon-2020-CfD.pdf Call-For-Developers]<br />
* June 4th – [//mecwiki.etsi.org/images/2020_droidcon_webinar.pdf MEC Webinar]<br />
* June 15th Submission Deadline (extended to 30/06)<br />
* July 2020 – remote access to MEC servers offered to the admitted MEC Hackathon developers<br />
* July-November – actual WORK<br />
* 25-26 Nov – FINAL DAYS of the Hackathon!<br />
<br />
* Event Webinars part 1: https://youtu.be/YqWPad-O_SE <br />
{{#evu:https://www.youtube.com/watch?v=YqWPad-O_SE <br />
|alignment=center<br />
|dimensions="120"<br />
}}<br />
<br><br />
<br />
* Event Webinars part 2: https://youtu.be/gFLfx8Yacck<br />
{{#evu:https://www.youtube.com/watch?v=gFLfx8Yacck<br />
|alignment=center<br />
|dimensions="120"<br />
}}<br />
<br><br />
<br />
=== Jury members ===<br />
[[File:2020-hack-jury.png|800px|center|top|class=img-responsive]] <br />
<br><br />
= Technical challenge = <br />
Developers’ teams at the Hackathon were tasked to develop Android applications for services in MEC-enabled 5G networks, running on OpenNESS platform and using ETSI MEC technologies.<br />
<br />
[[File:2020-hack-challenge.png|800px|center|top|class=img-responsive]] <br />
<br><br />
<br />
= Awards = <br />
=== Prizegiving day ===<br />
{{#evu:https://www.youtube.com/watch?app=desktop&v=-BbMKRRJvGc&feature=youtu.be<br />
|alignment=center<br />
|dimensions="120"<br />
}}<br />
<br />
=== Awarded project ===<br />
The MEC Hackathon winner, UniMore, showcased a project on Cognitive mobility at the Edge, an automotive application solution exploiting features and services provided by the 5G MEC architecture (including a MEC Location API) in order to deliver low-latency location-based event notifications about traffic, congestion forecast, and mobility patterns. <br />
<br />
[[File:2020-hack-award2.png|800px|center|top|class=img-responsive]] <br />
<br><br />
[[File:2020-hack-award3.png|800px|center|top|class=img-responsive]] <br />
<br><br />
<br />
<br><br />
See the video here: <br />
{{#evu:https://www.youtube.com/watch?v=3sy8gz_XTvA<br />
|alignment=center<br />
|dimensions="120"<br />
}}<br />
<br><br />
As a part of the final software prototype, the UniMore team also released the Openness Connector java library on Github (https://github.com/openness-4-java) to ease the life of developers willing to interact with the MEC API provided by the Openness platform.<br />
<br><br />
[[File:2020-hack-award4.png|center|top|class=img-responsive]] <br />
<br><br />
<br><br />
=== Winner team ===<br />
The UniMore team is composed by very experienced Droidcon Hackathon developers and researchers at the Department of Sciences and Methods for Engineering of the University of Modena and Reggio Emilia.<br />
<br><br />
[[File:2020-hack-award1.png|250px|center|top|class=img-responsive]] <br />
<br><br />
<br />
Among the other prizes, the Hackathon winner was offered the possibility to participate to the Smart Road project (a consortium of partners, from car makers, network operators, universities and the City of Turin), with the aim of proposing their developed solution as possible implementation for testing activities in the Turin urban environment. In this perspective, the UniMore Team continued the implementation activities related to their V2X applications scenarios.</div>Velezhttps://mecwiki.etsi.org/index.php?title=MEC_Hackathon_2021_Edge_Computing_World&diff=4219MEC Hackathon 2021 Edge Computing World2024-03-26T17:43:01Z<p>Velez: </p>
<hr />
<div>__NOTOC__<br />
<br />
<br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
[[File:2021-hack-banner1.png|1200px|center|top|class=img-responsive]] <br />
<br />
<br><br />
<br />
= Organization = <br />
=== Details ===<br />
<p>ETSI is pleased to be the official partner of THE EDGE COMPUTING WORLD who hosted this annual Hackathon on 12-14 October 2021. The Hackathon was held virtual over the summer. Edge Computing World was hosting the Hackathon information portal and was the venue for final pitches and judging of the Hackathon entries during the Edge Developers Conference on 12 October 2021. </p><br />
<br />
[[File:2021-presentation.png|400px|center|top|class=img-responsive]] <br />
<br><br />
<p>This year’s challenge was “What innovative Edge Application or Service can you imagine using MEC Service APIs?” Contestants will be asked to bring that app or service to life with the ETSI MEC Sandbox. Teams are encouraged to be creative in selecting an application vertical to focus on for their submission, include:Automotive, Drones, AR/VR, media, and entertainment & Smart Cities.</p><br />
<br />
Teams at the Hackathon will be tasked to develop an innovative Edge Application or Service that utilizes the ETSI MEC Service APIs provided in the Sandbox. Challenge winning criteria will include:<br />
<br />
* Innovation – how novel is the submitted edge app or service?<br />
* Usage of MEC Service APIs – especially, the use of multiple service APIs and any interworking between them.<br />
* Quality – quality of submission deliverables<br />
<br><br />
For more details , see : [[Media:2021_MEC_Hackathon_-_pre-event_Webinar.pdf | 2021 MEC Hackathon - pre-event Webinar presentation]]<br />
<br />
<br />
__TOC__<br />
<br />
=== Supporting organizations ===<br />
[[File:2021-hack-supporters.png|700px|center|top|class=img-responsive]] <br />
<br />
<br />
<br />
=== Hackathon phases: ===<br />
* Submissions Due: 28 July 2021<br />
* Teams Notified: 6 August 2021<br />
* Hackathon: 9 Aug -- 1 Oct 2021 <br />
* Winners: 12 October 2021 (Edge Developers Conference)<br />
<br />
<br />
=== Jury members ===<br />
[[File:2021-hack-jury.png|500px|center|top|class=img-responsive]] <br />
<br><br />
= Technical challenge = <br />
<p>Teams were provided with a dedicated instance of the ETSI MEC Sandbox for their work over the duration of the Hackathon. The MEC Sandbox is an online environment where developers access and interact with live ETSI MEC Service APIs in an emulated edge network set in Monaco, which includes 4G, 5G, and WiFi configurations.</p><br />
<p>The MEC Sandbox offers edge contextual information via the following ETSI MEC Service APIs:<br />
* Location (MEC013)<br />
* Radio Network Information (MEC012) <br />
* WLAN Access Information (MEC028) <br />
</p><br />
[[File:2021-hack-challenge.png|800px|center|top|class=img-responsive]] <br />
<br><br />
<br />
= Awards = <br />
=== Prizegiving day ===<br />
[[File:2021-hack-prize1.png|800px|center|top|class=img-responsive]] <br />
<br />
<div class="flex-row row"><br />
<div class="col-lg-7"><br />
<div class="panel-body">[[File:2021-hack-prize2.png|600px|inline|top|class=img-responsive]] <br />
</div><br />
</div><!-- end of col 1--><br />
<br />
<div class="col-lg-5"><br />
<div class="panel-body">[[File:2021-hack-prize4.png|300px|top|class=img-responsive]] <br />
</div><br />
</div><!-- End of col 2--><br />
<br />
</div><!-- End of row 1--><br />
<br />
<br />
<br><br />
<br />
=== Winner team ===<br />
<br />
The ETSI MEC Hackathon 2021 winner is The “A Team”, composed by personnel from Optare Solutions.<br />
They developed a solution called “Follow Mec”, consisting in a surveillance drone application.<br />
<br />
Big congratulations from the jury !!!<br />
<br />
Outside the hackathon, Optare Solutions helps Telecoms to streamline their OSS and BSS Systems. More than 11 years of experience and a specialized team makes them the go-to choice for many to fulfill their system integration demands.<br />
[[File:2021-winners1.png|700px|center|class=img-responsive]]<br />
<br><br />
* Post-event Press release :[[https://www.etsi.org/newsroom/news/1994-2021-11-congratulations-to-optare-solutions-winner-of-the-2021-etsi-mec-hackathon here]]<br />
<br><br />
=== Awarded project ===<br />
<p>The A Team introduced an innovative, quick, and flexible deployment of an aerial camera drone. It showcased a MEC application for surveillance activities (tracking pedestrians, wildlife control, crowd control). </p><br />
<p>The application used the resources of the MEC to execute AI algorithms and adapts its behavior in real time to the different conditions of coverage, signal quality, and power.</p> <br />
<p>ETSI MEC APIs allow for cheaper hardware, a reduced weight of the drone, increasing its autonomy and balance and offers a flexible suite of AI assets leading to optimized costs.</p><br />
[[File:2021-winners2.png|700px|center|class=img-responsive]]<br />
<br><br />
<br />
* '''See the awarded project video [[//twitter.com/optaresolutions/status/1448324634835816452 here ]]'''<br />
<br />
<br></div>Velezhttps://mecwiki.etsi.org/index.php?title=MEC_Hackathon_2021_Edge_Computing_World&diff=4218MEC Hackathon 2021 Edge Computing World2024-03-26T17:42:29Z<p>Velez: </p>
<hr />
<div>__NOTOC__<br />
<br />
<br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
[[File:2021-hack-banner1.png|1200px|center|top|class=img-responsive]] <br />
<br />
<br><br />
<br />
= Organization = <br />
=== Details ===<br />
<p>ETSI is pleased to be the official partner of THE EDGE COMPUTING WORLD who hosted this annual Hackathon on 12-14 October 2021. The Hackathon was held virtual over the summer. Edge Computing World was hosting the Hackathon information portal and was the venue for final pitches and judging of the Hackathon entries during the Edge Developers Conference on 12 October 2021. </p><br />
<br />
[[File:2021-presentation.png|400px|center|top|class=img-responsive]] <br />
<br><br />
<p>This year’s challenge was “What innovative Edge Application or Service can you imagine using MEC Service APIs?” Contestants will be asked to bring that app or service to life with the ETSI MEC Sandbox. Teams are encouraged to be creative in selecting an application vertical to focus on for their submission, include:Automotive, Drones, AR/VR, media, and entertainment & Smart Cities.</p><br />
<br />
Teams at the Hackathon will be tasked to develop an innovative Edge Application or Service that utilizes the ETSI MEC Service APIs provided in the Sandbox. Challenge winning criteria will include:<br />
<br />
* Innovation – how novel is the submitted edge app or service?<br />
* Usage of MEC Service APIs – especially, the use of multiple service APIs and any interworking between them.<br />
* Quality – quality of submission deliverables<br />
<br><br />
For more details , see : [[Media:2021_MEC_Hackathon_-_pre-event_Webinar.pdf | 2021 MEC Hackathon - pre-event Webinar presentation]]<br />
<br />
<br />
__TOC__<br />
<br />
=== Supporting organizations ===<br />
[[File:2021-hack-supporters.png|700px|center|top|class=img-responsive]] <br />
<br />
<br />
<br />
=== Hackathon phases: ===<br />
* Submissions Due: 28 July 2021<br />
* Teams Notified: 6 August 2021<br />
* Hackathon: 9 Aug -- 1 Oct 2021 <br />
* Winners: 12 October 2021 (Edge Developers Conference)<br />
<br />
<br />
=== Jury members ===<br />
[[File:2021-hack-jury.png|500px|center|top|class=img-responsive]] <br />
<br><br />
= Technical challenge = <br />
<p>Teams were provided with a dedicated instance of the ETSI MEC Sandbox for their work over the duration of the Hackathon. The MEC Sandbox is an online environment where developers access and interact with live ETSI MEC Service APIs in an emulated edge network set in Monaco, which includes 4G, 5G, and WiFi configurations.</p><br />
<p>The MEC Sandbox offers edge contextual information via the following ETSI MEC Service APIs:<br />
* Location (MEC013)<br />
* Radio Network Information (MEC012) <br />
* WLAN Access Information (MEC028) <br />
</p><br />
[[File:2021-hack-challenge.png|800px|center|top|class=img-responsive]] <br />
<br><br />
<br />
= Awards = <br />
=== Prizegiving day ===<br />
[[File:2021-hack-prize1.png|800px|center|top|class=img-responsive]] <br />
<br />
<div class="flex-row row"><br />
<div class="col-lg-7"><br />
<div class="panel-body">[[File:2021-hack-prize2.png|600px|inline|top|class=img-responsive]] <br />
</div><br />
</div><!-- end of col 1--><br />
<br />
<div class="col-lg-5"><br />
<div class="panel-body">[[File:2021-hack-prize4.png|300px|top|class=img-responsive]] <br />
</div><br />
</div><!-- End of col 2--><br />
<br />
</div><!-- End of row 1--><br />
<br />
<br />
<br><br />
<br />
=== Winner team ===<br />
<br />
The ETSI MEC Hackathon 2021 winner is The “A Team”, composed by personnel from Optare Solutions.<br />
They developed a solution called “Follow Mec”, consisting in a surveillance drone application.<br />
<br />
Big congratulations from the jury !!!<br />
<br />
Outside the hackathon, Optare Solutions helps Telecoms to streamline their OSS and BSS Systems. More than 11 years of experience and a specialized team makes them the go-to choice for many to fulfill their system integration demands.<br />
[[File:2021-winners1.png|700px|center|class=img-responsive]]<br />
<br><br />
* Post-event Press release :[[https://www.etsi.org/newsroom/news/1994-2021-11-congratulations-to-optare-solutions-winner-of-the-2021-etsi-mec-hackathon here]]<br />
<br><br />
=== Awarded project ===<br />
<p>The A Team introduced an innovative, quick, and flexible deployment of an aerial camera drone. It showcased a MEC application for surveillance activities (tracking pedestrians, wildlife control, crowd control). </p><br />
<p>The application used the resources of the MEC to execute AI algorithms and adapts its behavior in real time to the different conditions of coverage, signal quality, and power.</p> <br />
<p>ETSI MEC APIs allow for cheaper hardware, a reduced weight of the drone, increasing its autonomy and balance and offers a flexible suite of AI assets leading to optimized costs.</p><br />
[[File:2021-winners2.png|700px|center|class=img-responsive]]<br />
<br><br />
<br />
* '''See the awarded project video [[https://twitter.com/optaresolutions/status/1448324634835816452 here ]]'''<br />
<br />
<br></div>Velezhttps://mecwiki.etsi.org/index.php?title=ETSI_-_LF_MEC_Hackathon_2022&diff=4217ETSI - LF MEC Hackathon 20222024-03-26T17:41:53Z<p>Velez: </p>
<hr />
<div>__NOTOC__<br />
<br />
<br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
<br />
[[File:hack2022_3logos.png|center|top|class=img-responsive]] <br />
<p class="center" style="font-size:34px;"><b> ETSI/Linux Foundation </b><p class="center" style="font-size:34px;"><b> MEC Hackathon 2022 </b><p><br />
<br />
<br><br />
<br />
= Organization and scope=<br />
== Details ==<br />
* Driven by LF Edge Akraino and ETSI ISG MEC<br />
* Hosted at Edge Computing World, Europe (June ‘22) & Global (October ‘22) <br />
<br />
The goal was to develop an innovative Edge Application or Solution, utilizing ETSI MEC Service APIs and LF Edge Akraino Blueprints. Your solution might include any combination of terminal apps, edge apps or services, and cloud components.<br />
<p>The Edge Hackathon was run <b>remotely</b> from 29 June to 23 September with a short-list of best teams invited to complete with demonstrations and a Hackathon “pitch-off” at the Edge Computing World, Global Event in Santa Clara in the Silicon Valley </p><br />
<br />
<!-- <p class="center"></p>[[File:hack2022_scope2.png|center|top|class=img-responsive|665x665px]] --><br />
<p class="center"></p>[[File:hack2022_scope2.png|center|top|class=img-responsive|500x500px]]<br />
<br />
* Edge Computing provides developers with localized, low-latency resources that can be utilized to create new and innovative solutions, which are essential to many application vertical markets in the 5G era. <br />
<br />
* '''ETSI’s ISG MEC''' is standardizing an open environment that enables the integration of applications from infrastructure and edge service providers across MEC (Multi-access Edge Computing) platforms and systems. <br />
<br />
* '''LF Edge’s Akraino''' project offers a set of open infrastructure and application Blueprints for Edge, spanning a broad variety of application vertical use-cases. Each blueprint offers a high-quality full-stack solution that is tested and validated , that are validated by the community.<br />
<br />
* The purpose of this Hackathon was to demonstrate an innovative Edge Application or Solution focused on the following application vertical use-cases with supporting ETSI MEC Service APIs and LF Edge Akraino Blueprint resources:<br />
** '''Automotive''': Realize a vehicular use case or service to enable intelligent traffic control, driving capabilities, increased safety, etc. <br />
** '''Mixed and Augmented Reality''': Realize an immersive application enabling interactivity of physical systems and human experiences. <br />
** '''Edge Computing and 5G''': Deploy and use 5G and hybrid edge infrastructure to enable federation for distributed edge applications<br />
<br />
However, teams were also encouraged to be creative and propose to develop solutions in other application verticals than these highlighted. <br />
<br />
__TOC__<br />
== Supporting organizations ==<br />
[[File:Sponsors2022.png|600px|center|top|class=img-responsive]]<br />
<br />
== Hackathon phases: ==<br />
* Submissions Due: 29 June 2022<br />
* Teams Notified: 1 July 2022<br />
* Hackathon: 1 July -- 23 Sept 2022<br />
* Winners: On-site Hackathon Demos and “Pitch-off”: The three best teams were invited to demonstrate their solutions at the Edge Computing World Global 2022 event in Santa Clara, Silicon Valley on October 10th-12th. The winning team was selected following the “pitch-off” and announced at the conference.<br />
* Prizes :<br />
** 1st Place: $9,000<br />
** 2nd Place: $2,500<br />
** 3rd Place: $1,000<br />
** Special Best Automotive Prize by 5GAA: $2,500<br />
<br />
<br><br />
= Resources =<br />
== ETSI MEC resources ==<br />
* Suggested ETSI MEC Services and APIs:<br />
** [//forge.etsi.org/rep/mec/gs011-app-enablement-api MEC011] - MEC Platform Application & Service Enablement (Mp1)<br />
** [//forge.etsi.org/rep/mec/gs012-rnis-api MEC012]- Radio Network Information Service (RNIS)<br />
** [//forge.etsi.org/rep/mec/gs013-location-api MEC013] - Location Service<br />
** [//forge.etsi.org/rep/mec/gs021-amsi-api MEC021] - Application Mobility Service (AMS) <br />
** [//forge.etsi.org/rep/mec/gs028-wai-api MEC028] - WLAN Access Information Service (WAIS) <br />
** [//forge.etsi.org/rep/mec/gs030-vis-api MEC030] – V2X Information Service (VIS) <br />
* ETSI Forge:<br />
** OpenAPI representations for the all the MEC Service APIs; implementation ready [//forge.etsi.org/rep/mec (forge.etsi.org/rep/mec)]<br />
* ETSI MEC Sandbox:<br />
** Experimentation Environment for MEC Service APIs [//try-mec.etsi.org/ (try-mec.etsi.org)]<br />
<br />
== LF Edge - Akraino Blueprints ==<br />
''Developers encouraged to use other Blueprints of their choosing''<br />
<br />
{| class="wikitable"<br />
|Automotive<br />
| [//wiki.akraino.org/display/AK/MEC-based+Stable+Topology+Prediction+for+Vehicular+Networks 1.MEC-based Stable Topology Prediction for Vehicular Networks]<br />
|-<br />
|Mixed and Augmented Reality<br />
|[//urldefense.com/v3/__https:/wiki.akraino.org/display/AK/Release*5*Architecture*Document__;Kysr!!PcPv50trKLWG!g4eZt7C9h8VsBeehITq1vaUkOXTHBqUw9u1m33OKpsUMdT2EX7nJJuBmmngKrqpS$ 2.Virtual Classroom (Integrated Edge Cloud Type 4)]<br />
|-<br />
|Edge Computing and 5G<br />
|[//wiki.akraino.org/pages/viewpage.action?pageId=11995140&src=contextnavpagetreemode 3.Integrated Cloud Native NFV/App Stack]<br />
<br />
[//wiki.akraino.org/display/AK/Public+Cloud+Edge+Interface+%28PCEI%29+Blueprint+Family?src=contextnavpagetreemode 4.Public Cloud Edge Interface (PCEI)]<br />
<br />
[//wiki.akraino.org/display/AK/Enterprise+Applications+on+Lightweight+5G+Telco+Edge 5.Enterprise Applications on Lightweight 5G Telco Edge (EALTE)]<br />
|}<br />
<br />
== Additional resources ==<br />
* Equinix offered teams access to their Metal Platform [//metal.equinix.com/ (metal.equinix.com)]<br />
* Intel offered teams access and technical support for their Smart Edge Open Toolkit [//www.intel.com/content/www/us/en/developer/tools/smart-edge-open/overview.html (smart-edge-open-overview)]<br />
<br />
<br><br />
= Awarded projects =<br />
== Podium ==<br />
[[File:Hackathon2022-group.jpg|600px|center|top|class=img-responsive]]<br />
<br><br />
<p><br />
'''15 Teams''' from Europe, US and Asia have participated to this exciting hackathon, submitting high-quality and innovative projects. </p><br />
Big Thanks to all of them.<br />
<p>The Jury has reviewed and awarded the following Top projects:</p><br />
* '''1<sup>st</sup> Prize''' : Team "Domino" from Equinix and Aarna Networks<br />
* '''2<sup>nd</sup> Prize''' : Team "Pedraforca" from CTTC and Vicomtech<br />
* '''3<sup>rd</sup> Prize and best Automotive project''' : Team "K.I.T.T Knowledge In The Traffic" from Optare Solutions<br />
== Winner Team ==<br />
<p>The ETSI/LF MEC Hackathon 2022 winner is the “'''Domino'''” team , composed by staff from Equinix and Aarna Networks. They developed a solution called “MEC Service Federation for Location-aware IoT with DevOps MEC Infra Orchestration ”.</p><br />
<p class="center" style="font-size:20px;"><b>Big congratulations from the jury !!! </b><p><br />
[[File:Edge Hackathon 2022-winners.png|400px|center|top|class=img-responsive]]<br />
<p class="center">From Left to right: Vivekanandan Muthukrishnan, Bob Gazda (Jury) , Oleg Berzin</p><br />
<br><br />
<p><br />
In the solution they used Akraino Public Cloud Edge Interface (PCEI) blueprint and MEC Location API service to demonstrate orchestration of federated MEC infrastructure and services, including:<br />
</p><br />
* Bare metal, interconnection, virtual routing for MEC and Public Cloud IaaS/SaaS, across two operators/providers (a 5G operator and a MEC provider)<br />
* 5G Control and User Plane Functions<br />
* Deployment and operation of end-to-end cloud native IoT application making use of 5G access and distributed both across geographic locations and across hybrid MEC (edge cloud) and Public Cloud (SaaS) infrastructure<br />
* By orchestrating, bare metal servers and their software stack, 5G control plane and user plane functions, interconnection between the 5G provider and MEC provider, connectivity to a public cloud as well as the IoT application and the MEC Location API service, they show how it is possible for providers to enable sharing of their services in a MEC Federation<br />
<br><br />
== Details of the awarded projects ==<br />
=== [[Hack2022_1st_Prize|1<sup>st</sup> Prize : Equinix & Aarna Networks]] ===<br />
<br />
=== [[Hack2022_2nd_Prize|2<sup>nd</sup> Prize : CTTC & Vicomtech]] ===<br />
=== [[Hack2022_3rd_Prize|3<sup>rd</sup> Prize : Optare Solutions]] ===</div>Velezhttps://mecwiki.etsi.org/index.php?title=ETSI_-_LF_-_OCP_-_MEC_Hackathon_2023&diff=4216ETSI - LF - OCP - MEC Hackathon 20232024-03-26T17:41:24Z<p>Velez: </p>
<hr />
<div>__NOTOC__<br />
<br><br />
<p class="left" style="font-size:26px;"> ←''[[Past_events|Past Hackathons]]''<p><br />
<br><br />
[[File:hack2023_3logos.png|center|top|class=img-responsive]] <br />
<p class="center" style="font-size:34px;"><b> ETSI/LF Edge/OCP </b><p class="center" style="font-size:34px;"><b> Edge AI Hackathon 2023</b><p><br />
<br />
<br><br />
<br />
= Organization and scope=<br />
== Details ==<br />
* Driven by ETSI ISG MEC, LF Edge Akraino and OCP<br />
* Final Phase hosted at OCP Global Summit in San Jose, California <br />
* Teams are challenged to design & prototype an Edge-Native solution, focusing on the use of AI and considering overall application performance optimization in three application verticals categories:<br />
** <b>AI and Automation</b>: How to utilize edge-native and AI into data analytics and automation?<br />
** <b>Sustainability</b>: How is edge-native and AI useful to enhance sustainability in applications, services, and networks?<br />
** <b>5G Edge</b>: How to deploy and utilize AI in 5G edge infrastructure to enable edge-native distributed applications?<br />
* Teams offered a wide set of resources offered from across our supporting organizations.<br />
<br />
<p>The Edge AI Hackathon 2023 was run <b>remotely</b> from 1st July to 18 october 2023 with a short-list of best teams invited to complete with demonstrations and a Hackathon “pitch-off” at the OCP Global Summit in San Jose, California </p><br />
<br />
<br />
<p class="center"></p>[[File:hack2023.png|center|top|class=img-responsive|800x600px]]<br />
<br />
* Edge Computing provides developers with localized, low-latency resources that can be utilized to create new and innovative solutions, which are essential to many application vertical markets in the 5G era. <br />
<br />
<br />
<br />
__TOC__<br />
== Supporting organizations ==<br />
[[File:hack2023_3logos.png|600px|center|top|class=img-responsive]]<br />
<br />
* '''ETSI’s ISG MEC''' is standardizing an open environment that enables the integration of applications from infrastructure and edge service providers across MEC (Multi-access Edge Computing) platforms and systems. <br />
<br />
* '''LF Edge’s Akraino''' project offers a set of open infrastructure and application Blueprints for Edge, spanning a broad variety of application vertical use-cases. Each blueprint offers a high-quality full-stack solution that is tested and validated , that are validated by the community.<br />
<br />
* '''OCP Open Compute Project''' offers Cloud / Edge Development Environments. It is a collaborative community focused on redesigning hardware technology to efficiently support the growing demands on compute infrastructure. <br />
== Hackathon phases: ==<br />
* Call for developers: 29 June<br />
* Hackathon start - Remote Competition: 17 July<br />
* Team Final Submission - remote competition: 15 Sept<br />
* Short-list teams announced: 25 Sept<br />
* Onsite competition: 18 Oct<br />
* Winners: On-site Hackathon Demos and “Pitch-off”: The three best teams were invited to demonstrate their solutions at the OCP Global Summit event in San Jose, Silicon Valley on October 18th. The winning team was selected following the “pitch-off” and announced at the conference.<br />
[[File:Ocp hall.png|500px|center|top|class=img-responsive]]<br />
<br />
<br />
<br />
* Prizes :<br />
** Exposure at the OCP Global Summit – 3 best teams<br />
** Travel expensed to San Jose - ~$2,000 per team<br />
** Cash Prizes:<br />
*** First place - $3000<br />
*** Second place - $2000<br />
*** Third place - $1000<br />
<br />
<br><br />
= Resources =<br />
=== ETSI MEC resources ===<br />
* Suggested ETSI MEC Services and APIs:<br />
** [//forge.etsi.org/rep/mec/gs011-app-enablement-api MEC011] - Edge Platform Application Enablement (Mp1): MEC App and Service Support and Management (e.g., MEC application registration, MEC service advertisement and discovery)<br />
** [//forge.etsi.org/rep/mec/gs012-rnis-api MEC012] - Radio Network Information Service (RNIS): 4G / 5G radio network contextual info<br />
** [//forge.etsi.org/rep/mec/gs013-location-api MEC013] - Location Service: network and geo-location information about terminals and infrastructure, etc.<br />
** [//forge.etsi.org/rep/mec/gs015-bandwith-mgmt-api MEC015] - Bandwidth Management Service & Multi-access Traffic Steering Service<br />
** [//forge.etsi.org/rep/mec/gs016-dev-app-api MEC016] - Device Application Interface: service that enables terminal devices to discovery MEC applications and create application contexts<br />
** [//forge.etsi.org/rep/mec/gs021-amsi-api MEC021] - Application Mobility Service (AMS): relocation of user context between MEC application instances across deployed MEC platforms<br />
** [//forge.etsi.org/rep/mec/gs028-wai-api MEC028] - WLAN Access Information Service (WAIS): WiFi network contextual info<br />
** [//forge.etsi.org/rep/mec/gs030-vis-api MEC030] – V2X Information Service (VIS): predicted quality of service for vehicle routes<br />
<br />
* ETSI Forge:<br />
** OpenAPI representations for the all the MEC Service APIs; implementation ready [//forge.etsi.org/rep/mec (forge.etsi.org/rep/mec)]<br />
* ETSI MEC Sandbox:<br />
** Experimentation Environment for MEC Service APIs [//try-mec.etsi.org/ (try-mec.etsi.org)]<br />
<br />
=== LF Edge - Akraino Blueprints ===<br />
* Set of Six Akraino Blueprints / Families<br />
** 1) Smart Cities; 2) KubeEdge Edge Service; 3) AI Edge Blueprint Family; 4) Computing Force Network CFN) - Ubiquitous Computing Force Scheduling; 5) CPS Robot Blueprint Family; 6) 5G MEC System Blueprint Family;<br />
* [//www.lfedge.org/wp-content/uploads/2023/05/AkrainoWhitepaper-PlatformSecurityArchitecture.pdf?hsCtaTracking=1d02d318-044d-4049-839c-943a4058ba92%7C5f1e9c3a-1bc6-4675-b199-4589dfa56a54 Akraino Platform Security Architecture] - Core knowledge about platform security, requirements, and its importance for Edge solutions<br />
* [//wiki.lfedge.org/display/LE/LF+Edge+CatalogLF Edge Catalog] - recipes for edge deployment of templates<br />
* [//wiki.lfedge.org/display/LE/Shared+Community+Lab LF Edge Community lab ]- Teams can reserve compute and networking resources<br />
<br />
=== OCP ===<br />
* Cloud / Edge Development Environments from OCP members<br />
** FLAX ([//www.flaxcomputing.com/sustainable-server-labs https://www.flaxcomputing.com/sustainable-server-labs])<br />
** QARNOT ([//qarnot.com https://qarnot.com] )<br />
<br />
<br />
<br />
= Awarded projects =<br />
<br />
[[File:Hack2023 podium.jpeg|600px|center|top|class=img-responsive]]<br />
<br><br />
<p><br />
'''13 Teams''' from Europe, US and Asia have participated to this exciting hackathon, submitting high-quality and innovative projects. Big Thanks to all of them !!! </p><br />
<br />
<p>Once more, the outcomes were truly extraordinary. The judges, the participants, and the remarkable organizations collaborated seamlessly, and contributed to the success of this event. A special recognition goes to <b>Bob Gazda</b> (InterDigital) for his invaluable assistance and unwavering dedication in ensuring the smooth execution of this hackathon.</p><br />
<br />
<p>The Jury has reviewed and awarded the following Top projects:</p><br />
<br />
* '''1<sup>st</sup> Prize''' : Team "Green Cyclops" from <b>Optare Solutions</b><br />
* '''2<sup>nd</sup> Prize''' : Team "Sheikah Tower" from <b>Google LLC</b><br />
* '''3<sup>nd</sup> Prize''' : Team "PalC" from <b>PalC Networks</b><br />
<br />
<!--<br />
== Winner Team ==<br />
<p>The Edge AI Hackathon 2023 winner is the “'''Green Cyclops'''” team , composed by staff from Optare Solutions (Spain). They developed a solution called “MEC Service Federation for Location-aware IoT with DevOps MEC Infra Orchestration ”.</p><br />
<p class="center" style="font-size:20px;"><b>Big congratulations from the jury !!! </b><p><br />
[[File:Edge Hackathon 2022-winners.png|400px|center|top|class=img-responsive]]<br />
<p class="center">From Left to right: Vivekanandan Muthukrishnan, Bob Gazda (Jury) , Oleg Berzin</p><br />
<br><br />
<p><br />
In the solution they used Akraino Public Cloud Edge Interface (PCEI) blueprint and MEC Location API service to demonstrate orchestration of federated MEC infrastructure and services, including:<br />
</p><br />
* Bare metal, interconnection, virtual routing for MEC and Public Cloud IaaS/SaaS, across two operators/providers (a 5G operator and a MEC provider)<br />
* 5G Control and User Plane Functions<br />
* Deployment and operation of end-to-end cloud native IoT application making use of 5G access and distributed both across geographic locations and across hybrid MEC (edge cloud) and Public Cloud (SaaS) infrastructure<br />
* By orchestrating, bare metal servers and their software stack, 5G control plane and user plane functions, interconnection between the 5G provider and MEC provider, connectivity to a public cloud as well as the IoT application and the MEC Location API service, they show how it is possible for providers to enable sharing of their services in a MEC Federation<br />
--><br />
<br />
<br><br />
<br />
== Details of the awarded projects ==<br />
<br />
=== [[Hack2023_1st_Prize|1<sup>st</sup> Prize : Optare Solutions]] ===<br />
<br />
=== [[Hack2023_2nd_Prize|2<sup>nd</sup> Prize : Google & Peking University]] ===<br />
=== [[Hack2023_3rd_Prize|3<sup>rd</sup> Prize : PalC Networks]] ===</div>Velezhttps://mecwiki.etsi.org/index.php?title=MDT_6_Federated_Edge_Hub_on_MEC&diff=4215MDT 6 Federated Edge Hub on MEC2024-03-26T17:40:25Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_MDTs|Ongoing MDTs]]''<p><br />
<br><br />
== MDT Team ==<br />
<br />
* SK telecom<br />
* Hewlett Packard Enterprise<br />
* Singtel<br />
<br />
== Main Contact ==<br />
<br />
SK telecom [mailto:hyeonsoo.lee@sk.com]<br />
<br />
== MDT Proposal ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2021//MEC(21)000263_MDT_Proposal_Federated_Edge_Hub.doc Federated Edge Hub on MEC]<br />
<br />
== MDT Topics ==<br />
<br />
This MDT is WORKING on: <br />
* [[PT01 - Demonstration of MEC Service Scenarios]]<br />
Establishment of Federated Edge Hub connected to each MNO’s MEC system and APIs for Application deployment, federation, MEC services<br />
<br />
Technical reports describing the system and deployed service scenario for federation<br />
<br />
* [[PT02 - Extend to various operators with standard based APIs and enhance features for commercialization]]<br />
Reports addressing actions, progress and issues<br />
<br />
== MDT Report ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2022/MEC(22)000284_MEC_Deployment_Trial_Report_MDT_6-_Federation.doc MDT#6_Final_Report]</div>Velezhttps://mecwiki.etsi.org/index.php?title=MDT_5_Smart_Factory_over_MEC&diff=4214MDT 5 Smart Factory over MEC2024-03-26T17:39:51Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_MDTs|Ongoing MDTs]]''<p><br />
<br><br />
== MDT Team ==<br />
<br />
* SK telecom<br />
* MyungWha corporation<br />
<br />
<br />
== Main Contact ==<br />
<br />
SK telecom [mailto:hyeonsoo.lee@sk.com]<br />
<br />
== MDT Proposal ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2021//MEC(21)000262_MDT_Proposal_SmartFactory.doc Smart Factory over MEC]<br />
<br />
== MDT Topics ==<br />
This MDT is WORKING on: <br />
* [[PT01 - Demonstration of MEC Service Scenarios]]<br />
Technical reports describing POC results in Smart Factory scenario <br />
<br />
== MDT Report ==<br />
MDT Report is expected by Q3 2021</div>Velezhttps://mecwiki.etsi.org/index.php?title=MDT_4_ARVR_navigation_based_on_5G_MEC&diff=4213MDT 4 ARVR navigation based on 5G MEC2024-03-26T17:37:19Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_MDTs|Ongoing MDTs]]''<p><br />
<br><br />
== MDT Team ==<br />
<br />
* China Telecom<br />
* Huawei<br />
* 21CN<br />
<br />
== Main Contact ==<br />
<br />
China Telecom [mailto:zhuhongm@chinatelecom.cn]<br />
<br />
== MDT Proposal ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2019/MEC(19)000321r1_MDT_proposal_on_ARVR_navigation_based_on_5G_MEC.zip ARVR navigation based on 5G MEC]<br />
<br />
== MDT Topics ==<br />
<br />
This MDT is WORKING on: <br />
* [[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
== MDT Report ==<br />
MDT Report is expected by Q1 2020</div>Velezhttps://mecwiki.etsi.org/index.php?title=MDT_3_Cloud_game_scheme_based_on_5G&diff=4212MDT 3 Cloud game scheme based on 5G2024-03-26T17:36:51Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_MDTs|Ongoing MDTs]]''<p><br />
<br><br />
== MDT Team ==<br />
<br />
* China Unicom<br />
* Huawei<br />
* Tencent<br />
* Intel<br />
<br />
== Main Contact ==<br />
<br />
China Unicom [mailto:Lvhz7@chinaunicom.cn]<br />
<br />
== MDT Proposal ==<br />
[//docbox.etsi.org/ISG/MEC/05-Contributions/2018/MEC(18)000438r2_Edge_Cloud_platform_architecture_and_Experimental_deployment.doc Edge-Cloud VR cloud game scheme based on 5G network]<br />
<br />
== MDT Topics ==<br />
This MDT is WORKING on: <br />
* [[PT01 - Demonstration of MEC Service Scenarios]]<br />
* [[PT03 - MEC Architecture]]<br />
MDT Contribution to PT03 (Technical Report) is expected by Q4 2018<br />
<br />
== MDT Report ==<br />
MDT Report is expected by Q4 2018</div>Velezhttps://mecwiki.etsi.org/index.php?title=MDT_2_Introducing_mobile_edge_computing_in_factory_network&diff=4211MDT 2 Introducing mobile edge computing in factory network2024-03-26T17:36:24Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_MDTs|Ongoing MDTs]]''<p><br />
<br><br />
== MDT Team ==<br />
<br />
* China Mobile<br />
* Huawei<br />
<br />
== Main Contact ==<br />
<br />
Wang Dan, China Mobile [mailto:wangdanyjy@chinamobile.com]<br />
<br />
== MDT Proposal ==<br />
<br />
[//docbox.etsi.org/ISG/MEC/05-Contributions/2018/MEC(18)000423_Introducing_mobile_edge_computing_in_factory_network_.docx Introducing mobile edge computing in factory network]<br />
<br />
== MDT Topics ==<br />
This MDT is WORKING on: <br />
* [[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
MDT Contribution to PT01 is expected by Q1 2019<br />
<br />
== MDT Report ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2021//MEC(21)000295r2_MEC_Deployment_Trial__Report_for_MDT_2_Introducing_mobile_ed.docx MDT#2_Final_Report]</div>Velezhttps://mecwiki.etsi.org/index.php?title=MDT_1_Deployment_of_CDN_at_the_edge_of_the_mobile_network&diff=4210MDT 1 Deployment of CDN at the edge of the mobile network2024-03-26T17:35:17Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_MDTs|Ongoing MDTs]]''<p><br />
<br><br />
== MDT Team ==<br />
<br />
* China Mobile<br />
* Nokia<br />
<br />
== Main Contact ==<br />
<br />
Wang Dan, China Mobile [mailto:wangdanyjy@chinamobile.com]<br />
<br />
== MDT Proposal ==<br />
<br />
[//docbox.etsi.org/ISG/MEC/05-Contributions/2018/MEC(18)000422_The_deployment_of_CDN_at_the_edge_of_the_mobile_network_.docx The deployment of CDN at the edge of the mobile network]<br />
<br />
== MDT Topics ==<br />
This MDT is WORKING on: <br />
* [[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
MDT Contribution to PT01 is expected by Q1 2019<br />
<br />
== MDT Report ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2021//MEC(21)000294r1_MEC_Deployment_Trial__Report_for_MDT_1.doc MDT#1_Final_Report]</div>Velezhttps://mecwiki.etsi.org/index.php?title=Ongoing_MDTs&diff=4209Ongoing MDTs2024-03-26T17:34:03Z<p>Velez: </p>
<hr />
<div>__TOC__<br />
<br />
<big>'''Overview of Reports'''</big><br />
<br />
{| class="wikitable center"<br />
|+<br />
!#<br />
!Description<br />
!MDT Proposal<br />
!Final Report<br />
|-<br />
|MDT#1<br />
|[[MDT 1 Deployment of CDN at the edge of the mobile network|Deployment of CDN at the edge of the mobile network]] <br />
|[//docbox.etsi.org/ISG/MEC/05-Contributions/2018/MEC(18)000422_The_deployment_of_CDN_at_the_edge_of_the_mobile_network_.docx LINK]<br />
|[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2021//MEC(21)000294r1_MEC_Deployment_Trial__Report_for_MDT_1.doc MDT#1_Final_Report]<br />
|-<br />
|MDT#2<br />
|[[MDT 2 Introducing mobile edge computing in factory network|Introducing mobile edge computing in factory network]] <br />
|[//docbox.etsi.org/ISG/MEC/05-Contributions/2018/MEC(18)000423_Introducing_mobile_edge_computing_in_factory_network_.docx LINK]<br />
|[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2021//MEC(21)000295r2_MEC_Deployment_Trial__Report_for_MDT_2_Introducing_mobile_ed.docx MDT#2_Final_Report]<br />
|-<br />
|MDT#3<br />
|[[MDT 3 Cloud game scheme based on 5G|Edge-Cloud VR cloud game scheme based on 5G network]]<br />
|[//docbox.etsi.org/ISG/MEC/05-Contributions/2018/MEC(18)000438r2_Edge_Cloud_platform_architecture_and_Experimental_deployment.doc LINK]<br />
|Expected Q4 2018 <br />
|-<br />
|MDT#4<br />
|[[MDT 4 ARVR navigation based on 5G MEC| ARVR navigation based on 5G MEC]]<br />
|[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2019/MEC(19)000321r1_MDT_proposal_on_ARVR_navigation_based_on_5G_MEC.zip LINK]<br />
|Expected Q1 2020<br />
|-<br />
|MDT#5<br />
|[[MDT 5 Smart Factory over MEC| Smart Factory over MEC]]<br />
|[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2021//MEC(21)000262_MDT_Proposal_SmartFactory.doc LINK]<br />
|Expected Q3 2021<br />
|-<br />
|MDT#6<br />
|[[MDT 6 Federated Edge Hub on MEC| Federated Edge Hub on MEC]]<br />
|[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2021//MEC(21)000263_MDT_Proposal_Federated_Edge_Hub.doc LINK]<br />
|[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2022/MEC(22)000284_MEC_Deployment_Trial_Report_MDT_6-_Federation.doc MDT#6_Final_Report]<br />
|}<br />
<br />
<big>'''List of MDTs'''</big><br />
<br />
This page provides the list of on-going ISG MEC MDTs. Click on them to learn further details.<br />
<br />
The following MEC Deployment Trials are developed according to the ETSI ISG MEC Proof of Concept Framework. MEC Proofs of Concept are intended to demonstrate MEC as a viable technology. Results are fed back to the Industry Specification Group on Mobile Edge Computing.<br />
<br />
Neither ETSI, the ISG MEC, nor their members make any endorsement of any product or implementation claiming to demonstrate or conform to MEC. No verification or test has been performed by ETSI on any part of these MEC Proofs of Concept.<br />
<br />
To request a ETSI MEC MDT, please contact [mailto:CTI_Support@etsi.org CTI_Support@etsi.org].<br />
<br />
==='''[[MDT 1 Deployment of CDN at the edge of the mobile network|MDT#1: Deployment of CDN at the edge of the mobile network]] '''===<br />
China Mobile - Nokia<br />
[[File:mdt1.png|center|600x500px|link=https://mecwiki.etsi.org/index.php?title=MDT_1_Deployment_of_CDN_at_the_edge_of_the_mobile_network]]<br />
<br><br />
<br><br />
==='''[[MDT 2 Introducing mobile edge computing in factory network| MDT#2: Introducing mobile edge computing in factory network]]'''===<br />
China Mobile - Huawei<br />
[[File:mdt2.png|center|600x500px|link=https://mecwiki.etsi.org/index.php?title=MDT_2_Introducing_mobile_edge_computing_in_factory_network]]<br />
<br><br />
<br><br />
==='''[[MDT 3 Cloud game scheme based on 5G| MDT#3: Edge-Cloud VR cloud game scheme based on 5G network]]'''===<br />
China Unicom - Huawei - Tencent - Intel<br />
[[File:mdt3a.png|center|800x600px|link=https://mecwiki.etsi.org/index.php?title=MDT_3_Cloud_game_scheme_based_on_5G]]<br />
<br><br />
<br><br />
==='''[[MDT 4 ARVR navigation based on 5G MEC| MDT#4: ARVR navigation based on 5G MEC]]'''===<br />
China Telecom - Huawei - 21CN<br />
[[File:mdt4a.png|center|800x600px|link=https://mecwiki.etsi.org/index.php?title=MDT_4_ARVR_navigation_based_on_5G_MEC]]<br />
<br><br />
<br><br />
==='''[[MDT 5 Smart Factory over MEC| MDT#5: Smart Factory over MEC]]'''===<br />
SK telecom - MyungWha corporation<br />
[[File:mdt5.png|center|600x500px|link=https://mecwiki.etsi.org/index.php?title=MDT_5_Smart_Factory_over_MEC]]<br />
<br><br />
<br><br />
==='''[[MDT 6 Federated Edge Hub on MEC| MDT#6: Federated Edge Hub on MEC]]'''===<br />
SK telecom - Hewlett Packard Enterprise<br />
[[File:mdt6b.png|center|800x600px|link=https://mecwiki.etsi.org/index.php?title=MDT_6_Federated_Edge_Hub_on_MEC]]<br />
<br></div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_14_Network_resource_allocation&diff=4208PoC 14 Network resource allocation2024-03-26T17:32:37Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* CTTC<br />
* xFlow Research<br />
* Telefónica<br />
<br />
== Main Contact ==<br />
Ricard Vilalta, CTTC <br />
[mailto:ricard.vilalta@cttc.es ricard.vilalta@cttc.es]<br />
<br />
Muhammad Hamza, xFlow Research<br />
[mailto:muhammad.hamza@xflowresearch.com muhammad.hamza@xflowresearch.com]<br />
== Abstract ==<br />
<br />
'''MEC BandWidth Management (BWM)''' service and '''TeraFlowSDN''' can be used to provide dedicated resources for network resource allocation for Gaming. BWM allows applications to allocate specific amounts of bandwidth to gaming applications, while TeraFlowSDN provides a way to manage and control traffic flows. <br />
This can help to ensure that gaming traffic has priority over other traffic, which can improve the gaming experience for users.<br />
<br />
Here are some of the benefits of using MEC BWM and TeraFlowSDN for gaming networking: Improved gaming performance, reduced congestion, and Increased scalability. By ensuring that gaming traffic has priority, BWM and TeraFlowSDN can help to reduce latency and improve the overall gaming experience. <br />
<br />
By allocating specific amounts of bandwidth to gaming applications, BWM and TeraFlowSDN can help to reduce congestion on the network, which can improve the gaming experience for all users. Finally, BBM and TeraFlowSDN can be easily scaled to accommodate more users and traffic, which is important for gaming applications that are expected to grow in popularity.<br />
<br />
[[File:Poc14.png|center|600x600px|link=PoC_14_Network_resource_allocation]]<br />
== PoC Proposal ==<br />
<p><br />
Network resource allocation for Gaming using MEC BandWidth Management service and TeraFlowSDN<br />
[//mecwiki.etsi.org/images/MEC_PoC_TFS_BWM_v0.3.docx MEC PoC TFS BWM]<br />
</p><br />
<br />
== PoC Topics ==<br />
<br />
This PoC is working on: <br />
<br />
[[PT03 - MEC Architecture]]<br />
<br />
[[PT04 MEC enabled vertical segments applications|PT04 - PT04 MEC enabled vertical segments applications]]<br />
<br />
== PoC Report ==<br />
PoC Report is expected by end of 2024</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_16_MEC_based_Smart_production_and_scheduling&diff=4207PoC 16 MEC based Smart production and scheduling2024-03-26T17:31:45Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
<br />
{{DISPLAYTITLE:PoC 16 MEC based Smart production and scheduling}}<br />
<br />
== PoC Team ==<br />
* China Telecom<br />
* China Telecom Intelligent NETWORK Technology Co., LTD<br />
* Huawei<br />
<br />
== Main Contact ==<br />
Hongmei Zhu , China Telecom , <br />
[mailto:zhuhongm@chinatelecom.cn zhuhongm@chinatelecom.cn]<br />
<br><br />
== Abstract ==<br />
<br />
This PoC proposal describes the 5G MEC solution supporting industrial manufacturing for industrial production, detection, scheduling used in Park. With this solution, industrial production efficiency will be greatly improved.<br />
<br />
[[File:Poc16.png|center|800x800px|link=PoC_16_MEC_based_Smart_production_and_scheduling]]<br />
<br><br />
== PoC Proposal ==<br />
<p><br />
<br />
[//mecwiki.etsi.org/images/MEC_PoC_MEC_based_Smart_production_and_scheduling.doc MEC PoC MEC based Smart production and scheduling]<br />
</p><br />
<br><br />
== PoC Topics ==<br />
<br />
This PoC is working on: <br />
<br />
[[//mecwiki.etsi.org/index.php?title=PT01_-_Demonstration_of_MEC_Service_Scenarios PT01- Demonstration of MEC Service Scenarios ]]<br />
<br><br />
== PoC Report ==<br />
PoC Report is expected in Q2 2024</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_1_Video_User_Experience_Optimization_via_MEC_-_A_Service_Aware_RAN_PoC&diff=4206PoC 1 Video User Experience Optimization via MEC - A Service Aware RAN PoC2024-03-26T17:30:58Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* Intel<br />
<br />
* China Mobile<br />
<br />
* iQiYi <br />
<br />
== Main Contact ==<br />
Soo Jin Tan, Intel [mailto:Soo.jin.tan@intel.com soo.jin.tan@intel.com]<br />
<br />
== PoC Demo ==<br />
* PoC Demo 1 - IWPC Workshop, San Jose (CA) 9 November 2015. [http://www.iwpc.org/workshops/2015/2015-11-intel/MEC-agenda.html (see details)]<br />
<br />
* PoC Demo 2 - 2015 China Mobile's Global Partnership Conference, Guangzhou (PRC) 14-16 December 2015<br />
<br />
* PoC Demo 3 - Mobile World Congress, Barcelona (SP), 22-25 Feb 2016 <br />
<br />
* PoC Demo 4 - MEC Congress Asia, Hong Kong, 19-20 April 2016<br />
<br />
== Abstract ==<br />
Through the Video UE Optimization application running on the MEC server, the MEC application is able to recognize which are the paid video streams from the content provider. From there, the MEC application will assign higher priority to those video streams by ensuring higher bit rate. As a result, the paid subscribers will have a more guaranteed user experience when streaming video from the designated content provider. <br />
[[File:Poc1.png|center|800x600px|link=http://mecwiki.etsi.org/index.php?title=PoC_1_Video_User_Experience_Optimization_via_MEC_-_A_Service_Aware_RAN_PoC]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_1_Video_User_Experience_Optimization_via_MEC_-_A_Service_Aware.docx PoC 1 Video_User_Experience_Optimization_via_MEC]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: [[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
PoC Contribution to PT01 (Technical Report) is expected by Q1 2016<br />
<br />
== PoC Report ==<br />
PoC Report is expected by Q1 2016</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_2_Edge_Video_Orchestration_and_Video_Clip_Replay_via_MEC&diff=4205PoC 2 Edge Video Orchestration and Video Clip Replay via MEC2024-03-26T17:30:07Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* Nokia<br />
<br />
* EE<br />
<br />
* Smart Mobile Labs<br />
<br />
== Main Contact ==<br />
* Uwe Rauschenbach, Nokia [mailto:uwe.rauschenbach@nokia.com uwe.rauschenbach@nokia.com]<br />
<br />
* Dirk Lindemeier, Nokia [mailto:dirk.lindemeier@nokia.com dirk.lindemeier@nokia.com]<br />
<br />
== PoC Demo ==<br />
Connected Stadium Summit, Wembley Stadium, London, 24-25 November 2015<br />
<br />
Webinar, 26 January 2016 [//www.brighttalk.com/webcast/12761/191449 Watch webinar]<br />
<br />
Mobile World Congress, Barcelona (SP), 22-25 Feb 2016 (GSMA Innovation City, Hall 3, 3A11 and 3A31)<br />
<br />
== Abstract ==<br />
Through the Edge Video Orchestration application running on the MEC server, the end user is able to receive live video streams from professional stadium cameras in real time. The user can choose the camera angle and view video replays provided locally. All media is produced, injected and played out locally, without the need to modify core network elements. Backhaul and core capacity is not impacted.<br />
[[File:Poc2.png|center|800x800px|link=http://mecwiki.etsi.org/index.php?title=PoC_2_Edge_Video_Orchestration_and_Video_Clip_Replay_via_MEC]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_2_Edge_Video_Orchestration_and_Video_Clip_Replay_via_MEC.docx PoC 2 Edge_Video_Orchestration_and_Video_Clip_Replay_via_MEC]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: [[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
PoC Contribution to PT01 (Technical Report) is expected by Q1 2016<br />
<br />
== PoC Report ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2017//MEC(17)000193_PoC_2_Final_Report.zip PoC_2_Final_Report]</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_2_Edge_Video_Orchestration_and_Video_Clip_Replay_via_MEC&diff=4204PoC 2 Edge Video Orchestration and Video Clip Replay via MEC2024-03-26T17:29:06Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* Nokia<br />
<br />
* EE<br />
<br />
* Smart Mobile Labs<br />
<br />
== Main Contact ==<br />
* Uwe Rauschenbach, Nokia [mailto:uwe.rauschenbach@nokia.com uwe.rauschenbach@nokia.com]<br />
<br />
* Dirk Lindemeier, Nokia [mailto:dirk.lindemeier@nokia.com dirk.lindemeier@nokia.com]<br />
<br />
== PoC Demo ==<br />
Connected Stadium Summit, Wembley Stadium, London, 24-25 November 2015<br />
<br />
Webinar, 26 January 2016 [https://www.brighttalk.com/webcast/12761/191449 Watch webinar]<br />
<br />
Mobile World Congress, Barcelona (SP), 22-25 Feb 2016 (GSMA Innovation City, Hall 3, 3A11 and 3A31)<br />
<br />
== Abstract ==<br />
Through the Edge Video Orchestration application running on the MEC server, the end user is able to receive live video streams from professional stadium cameras in real time. The user can choose the camera angle and view video replays provided locally. All media is produced, injected and played out locally, without the need to modify core network elements. Backhaul and core capacity is not impacted.<br />
[[File:Poc2.png|center|800x800px|link=http://mecwiki.etsi.org/index.php?title=PoC_2_Edge_Video_Orchestration_and_Video_Clip_Replay_via_MEC]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_2_Edge_Video_Orchestration_and_Video_Clip_Replay_via_MEC.docx PoC 2 Edge_Video_Orchestration_and_Video_Clip_Replay_via_MEC]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: [[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
PoC Contribution to PT01 (Technical Report) is expected by Q1 2016<br />
<br />
== PoC Report ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2017//MEC(17)000193_PoC_2_Final_Report.zip PoC_2_Final_Report]</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_3_Radio_aware_video_optimization_in_a_fully_virtualized_network&diff=4203PoC 3 Radio aware video optimization in a fully virtualized network2024-03-26T17:28:03Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* Telecom Italia<br />
<br />
* Intel UK Corporation<br />
<br />
* Eurecom<br />
<br />
* Politecnico di Torino<br />
<br />
== Main Contact ==<br />
* Dario Sabella, Intel [mailto:dario.sabella@intel.com dario.sabella@intel.com]<br />
<br />
* Navid Nikaein, Telecom Italia [mailto:navid.nikaein@eurecom.fr navid.nikaein@eurecom.fr]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 - ETSI MEC plenary #7b, Sophia Antipolis (FR), 27-30 June, 2016<br />
<br />
PoC Demo 2 - MEC congress 2016, Munich (GE), 20-22 September 2016<br />
<br />
PoC Demo 3 - MWC 2017, Barcelona (SP), February 2017<br />
<br />
== Abstract ==<br />
This PoC is demonstrating a video optimisation application aware of the Radio conditions in the cell, where MEC application is co-located with eNB and communicating with video content server, and quality of video streams are adjusted according to radio conditions of the users. As a result, video streams and the quality perceived by users will be improved thanks to the usage of MEC video optimization application.<br />
[[File:Poc3.png|center|600x600px|link=http://mecwiki.etsi.org/index.php?title=PoC_3_Radio_aware_video_optimization_in_a_fully_virtualized_network]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_3_Radio_aware_video_optimization_in_a_fully_virtualized_network.docx PoC 3 Radio_aware_video_optimization_in_a_fully_virtualized_network]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: [[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
PoC Contribution to PT01 (Technical Report) is expected by July 2016<br />
<br />
This PoC is also working and will be providing feedback to ISG MEC on: <br />
<br />
* MEC APIs<br />
<br />
* MEC metrics and baseline results (MEC-IEG-006)<br />
<br />
PoC Contributions on these areas are expected by July 2016<br />
<br />
== PoC Report ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2021/MEC(21)000338_MEC_PoC_3_Final_Report.zip PoC3_Final_Report]</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_4_FLIPS_%E2%80%93_Flexible_IP-based_Services&diff=4202PoC 4 FLIPS – Flexible IP-based Services2024-03-26T17:27:01Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* InterDigital<br />
<br />
* Bristol is Open<br />
<br />
* Intracom<br />
<br />
* CVTC<br />
<br />
* Essex University<br />
<br />
== Main Contact ==<br />
* Alex Reznik, Interdigital [mailto:alex.reznik@interdigital.com alex.reznik@interdigital.com]<br />
<br />
* Dirk Trossen, Interdigital [mailto:dirk.trossen@interdigital.com mailto:dirk.trossen@interdigital.com]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 - MWC Barcelona, Spain, Feb 2016<br />
<br />
PoC Demo 2 - PoC Live Demo using Bristol Is Open network, Bristol, UK, May 2016<br />
<br />
PoC Demo 3 - MEC World Congress, Munich (GE), Sept 2016<br />
<br />
== Abstract ==<br />
An operator-based MEC Application is designed to transparently accelerate delivery of IP-based content and streaming media. This Application additionally allows exposure of in-network surrogate server to allow operators to offer Surrogate-as-a-Service for web-based media delivery. <br />
[[File:Poc4.png|center|600x600px|link=http://mecwiki.etsi.org/index.php?title=PoC_4_FLIPS_%E2%80%93_Flexible_IP-based_Services]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_4_FLIPS_Flexible_IP-Based_Services.docx FLIPS_Flexible_IP_Based_Services]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
[[PT02 - MEC Metrics]]<br />
<br />
PoC Contribution to PT01 and PT02 (Technical Report) is expected by Q4 2016<br />
<br />
== PoC Report ==<br />
PoC Report is expected by Q4 2016</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_5_Enterprise_Services&diff=4201PoC 5 Enterprise Services2024-03-26T17:26:04Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* Saguna <br />
<br />
* Adva Optical Networking <br />
<br />
* Bezeq International<br />
<br />
== Main Contact ==<br />
Michael Rabinovich, Adva Optical [mailto:mrabinovich@advaoptical.com mrabinovich@advaoptical.com]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 - '''MEC PoC ZONE''' @ MEC World Congress, Munich (GE), Sept 2016<br />
<br />
PoC Demo 2 - PoC Live Demo at chosen Enterprise (TBD), Q1 2017<br />
<br />
== Abstract ==<br />
Use of MEC for Enterprise by implementation of a local breakout for the enterprise users <br />
[[File:PoC5.png|center|600x600px|link=http://mecwiki.etsi.org/index.php?title=PoC_5_Enterprise_Services]]<br />
<br />
== PoC Proposal ==<br />
[https://mecwiki.etsi.org/images/PoC_5_Enterprise_services.docx Enterprise_services]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
PoC Contribution to PT01 (Technical Report) is expected by Q2 2017<br />
<br />
== PoC Report ==<br />
PoC Report is expected by Q2 2017</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_6_Healthcare_%E2%80%93_Dynamic_Hospital_User,_IoT_and_Alert_Status_management&diff=4200PoC 6 Healthcare – Dynamic Hospital User, IoT and Alert Status management2024-03-26T17:25:19Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* Quortus Ltd<br />
<br />
* Argela <br />
<br />
* Turk Telecom<br />
<br />
== Main Contact ==<br />
* Paul Trubridge, Quortus [mailto:paul.trubridge@quortus.com paul.trubridge@quortus.com]<br />
<br />
* Andy Odgers, Quortus [mailto:Andy.Odgers@quortus.com Andy.Odgers@quortus.com]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 - '''MEC PoC ZONE''' @ MEC World Congress, Munich (GE), Sept 2016<br />
<br />
== Abstract ==<br />
This POC considers a typical ‘Healthcare’ use-case where a Hospital is able to assign a cellular access hierarchy (using network slicing) and open access (at the edge) to local systems depending on managed access rights. It also demonstrates dynamic network slicing based on Hospital ‘alert’ status<br />
[[File:Poc6.png|center|500x500px|link=http://mecwiki.etsi.org/index.php?title=PoC_6_Healthcare_%E2%80%93_Dynamic_Hospital_User,_IoT_and_Alert_Status_management]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_6_Healthcare_Dynamic_Hospital_User_IoT_and_Alert_Status.docx Healthcare Dynamic Hospital User IoT and Alert Status]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
[[PT03 - MEC Architecture]]<br />
<br />
PoC Contribution to PT01 and PT03 (Technical Report) is expected by December 2016<br />
<br />
== PoC Report ==<br />
PoC Report is expected by December 2016</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_7_Multi-Service_MEC_Platform_for_Advanced_Service_Delivery&diff=4199PoC 7 Multi-Service MEC Platform for Advanced Service Delivery2024-03-26T17:24:15Z<p>Velez: </p>
<hr />
<div><br><br />
<p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* Brocade <br />
<br />
* Gigaspaces <br />
<br />
* Advantech<br />
<br />
* Saguna<br />
<br />
* Vasona <br />
<br />
* Vodafone<br />
<br />
== Main Contact ==<br />
Tim Epkes, Brocade [mailto:tepkes@brocade.com tepkes@brocade.com]<br />
<br />
Kevin Shatzkamer, Brocade [mailto:kshatz@BROCADE.COM kshatz@brocade.com]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 - '''MEC PoC ZONE''' @ MEC World Congress, Munich (GE), Sept 2016<br />
<br />
PoC Demo 2 - ETSI Webinar, Q4 2016<br />
<br />
PoC Demo 3 - Mobile World Congress, Barcelona, Feb 2017<br />
<br />
<br />
== Abstract ==<br />
MEC requires more than just standardization, including the establishment of an interoperable ecosystem that continues to develop new use-cases for MEC. Through a single, unified infrastructure, NFV-O, and cloud orchestration system, this MEC PoC will demonstrate the ability to support multiple MEC platforms and applications residing on shared and common computing infrastructure, each providing a unique value-add on the traffic traversing platform. Traffic, by APN or IP address range, will be dynamically routed to select MEC platforms, which will then introduce unique sets of data analytics, traffic optimization and network applications, leveraging service function chaining, that enhance subscriber experience and operator visibility into network characteristics<br />
[[File:Poc7.png|center|600x600px|link=http://mecwiki.etsi.org/index.php?title=PoC_7_Multi-Service_MEC_Platform_for_Advanced_Service_Delivery Multi-Service]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_7_Multi-Service_MEC_Platform.docx Multi_Service_MEC_Platform]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
[[PT03 - MEC Architecture]]<br />
<br />
PoC Contribution to PT01 and PT03 (Technical Report) is expected by September 2016<br />
<br />
== PoC Report ==<br />
PoC Report is expected by Q1 2017</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_8_Video_Analytics&diff=4198PoC 8 Video Analytics2024-03-26T17:23:05Z<p>Velez: </p>
<hr />
<div><br><p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br />
== PoC Team ==<br />
* Nokia<br />
<br />
* Vodafone Hutchison Australia<br />
<br />
* SeeTec<br />
<br />
== Main Contact ==<br />
Uwe Rauschenbach, Nokia [mailto:uwe.rauschenbach@nokia.com uwe.rauschenbach@nokia.com]<br />
<br />
Dirk Lindemeier, Nokia [mailto:dirk.lindemeier@nokia.com dirk.lindemeier@nokia.com]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 - '''MEC PoC ZONE''' @ MEC World Congress, Munich (GE), Sept 2016<br />
<br />
PoC Demo 2 - ETSI Webinar, November 2016<br />
<br />
== Abstract ==<br />
Video Analytics is an end to end use case for providing video surveillance to cities, municipalities, and enterprises over an LTE network. MEC is used for analysing raw video streams from surveillance cameras connected over LTE, and for forwarding relevant incidents to the local control room.<br />
[[File:Poc8.png|center|600x600px|link=http://mecwiki.etsi.org/index.php?title=PoC_8_Video_Analytics]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_8_Video_Analytics.docx Video_Analytics]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
[[PT03 - MEC Architecture]]<br />
<br />
PoC Contribution to PT01 and PT03 (Technical Report) is expected by December 2016<br />
<br />
== PoC Report ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2017//MEC(17)000194_PoC_8_Final_Report.zip PoC_8_Final_Report.zip]</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_8_Video_Analytics&diff=4197PoC 8 Video Analytics2024-03-26T17:22:31Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* Nokia<br />
<br />
* Vodafone Hutchison Australia<br />
<br />
* SeeTec<br />
<br />
== Main Contact ==<br />
Uwe Rauschenbach, Nokia [mailto:uwe.rauschenbach@nokia.com uwe.rauschenbach@nokia.com]<br />
<br />
Dirk Lindemeier, Nokia [mailto:dirk.lindemeier@nokia.com dirk.lindemeier@nokia.com]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 - '''MEC PoC ZONE''' @ MEC World Congress, Munich (GE), Sept 2016<br />
<br />
PoC Demo 2 - ETSI Webinar, November 2016<br />
<br />
== Abstract ==<br />
Video Analytics is an end to end use case for providing video surveillance to cities, municipalities, and enterprises over an LTE network. MEC is used for analysing raw video streams from surveillance cameras connected over LTE, and for forwarding relevant incidents to the local control room.<br />
[[File:Poc8.png|center|600x600px|link=http://mecwiki.etsi.org/index.php?title=PoC_8_Video_Analytics]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_8_Video_Analytics.docx Video_Analytics]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
[[PT03 - MEC Architecture]]<br />
<br />
PoC Contribution to PT01 and PT03 (Technical Report) is expected by December 2016<br />
<br />
== PoC Report ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2017//MEC(17)000194_PoC_8_Final_Report.zip PoC_8_Final_Report.zip]</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_15_Distributed_MEC_based_AR_remote_maintenance_for_logistics_transportation&diff=4196PoC 15 Distributed MEC based AR remote maintenance for logistics transportation2024-03-26T17:22:20Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* China Telecom<br />
* China Telecom Intelligent NETWORK Technology Co., LTD<br />
* Huawei<br />
<br />
== Main Contact ==<br />
Hongmei Zhu , China Telecom , <br />
[mailto:zhuhongm@chinatelecom.cn zhuhongm@chinatelecom.cn]<br />
<br><br />
== Abstract ==<br />
<br />
This PoC proposal describes the 5G distributed MEC solution to support remote maintenance of AR in logistics transportation. This solution can effectively improve the efficiency of logistics transportation and reduce the maintenance cost.<br />
<br />
[[File:Poc15.png|center|600x600px|link=PoC_15_Distributed_MEC_based_AR_remote_maintenance_for_logistics_transportation]]<br />
<br><br />
== PoC Proposal ==<br />
<p><br />
[//mecwiki.etsi.org/images/MEC_PoC_Distributed_MEC_based_AR_remote_maintenance_for_logistics_transportation.doc MEC PoC Distributed MEC based AR remote maintenance for logistics transportation]<br />
</p><br />
<br><br />
== PoC Topics ==<br />
<br />
This PoC is WORKING on: <br />
<br />
[[//mecwiki.etsi.org/index.php?title=PT01_-_Demonstration_of_MEC_Service_Scenarios PT01- Demonstration of MEC Service Scenarios ]]<br />
<br><br />
== PoC Report ==<br />
PoC Report is expected in Q2 2024</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_8_Video_Analytics&diff=4195PoC 8 Video Analytics2024-03-26T17:21:45Z<p>Velez: </p>
<hr />
<div>== PoC Team ==<br />
* Nokia<br />
<br />
* Vodafone Hutchison Australia<br />
<br />
* SeeTec<br />
<br />
== Main Contact ==<br />
Uwe Rauschenbach, Nokia [mailto:uwe.rauschenbach@nokia.com uwe.rauschenbach@nokia.com]<br />
<br />
Dirk Lindemeier, Nokia [mailto:dirk.lindemeier@nokia.com dirk.lindemeier@nokia.com]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 - '''MEC PoC ZONE''' @ MEC World Congress, Munich (GE), Sept 2016<br />
<br />
PoC Demo 2 - ETSI Webinar, November 2016<br />
<br />
== Abstract ==<br />
Video Analytics is an end to end use case for providing video surveillance to cities, municipalities, and enterprises over an LTE network. MEC is used for analysing raw video streams from surveillance cameras connected over LTE, and for forwarding relevant incidents to the local control room.<br />
[[File:Poc8.png|center|600x600px|link=http://mecwiki.etsi.org/index.php?title=PoC_8_Video_Analytics]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_8_Video_Analytics.docx Video_Analytics]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
[[PT03 - MEC Architecture]]<br />
<br />
PoC Contribution to PT01 and PT03 (Technical Report) is expected by December 2016<br />
<br />
== PoC Report ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2017//MEC(17)000194_PoC_8_Final_Report.zip PoC_8_Final_Report.zip]</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_9_MEC_platform_to_enable_low-latency_Industrial_IoT&diff=4194PoC 9 MEC platform to enable low-latency Industrial IoT2024-03-26T17:19:00Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
Vasona Networks<br />
<br />
RIFT.io<br />
<br />
Xaptum<br />
<br />
Oberthur Technologies<br />
<br />
Intel Corporation<br />
<br />
Vodafone<br />
<br />
== Main Contact ==<br />
Ariel Peltz, Vasona Networks [mailto:apeltz@vasonanetworks.com apeltz@vasonanetworks.com]<br />
<br />
Samuel Monderer, Vasona Networks [mailto:smonderer@vasonanetworks.com smonderer@vasonanetworks.com]<br />
<br />
Rui Frazao, Vasona Networks [mailto:rfrazao@vasonanetworks.com rfrazao@vasonanetworks.com]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 – ''Static setup of local IoT traffic breakout'', Feb 2017, Mobile World Congress 2017, Barcelona<br />
<br />
Poc Demo 2 – ''Dynamic setup of local IoT traffic breakout based on performance KPIs or external trigger'', Sep 2017, MEC Congress 2017, Berlin<br />
<br />
== Abstract ==<br />
This PoC considers a typical Industry 4.0 (RAMI 4.0 - Platform 4.0 Industrie)* IoT use-case for latency, mobility and location sensitive applications, wherein a MEC host with local RAN breakout can enable massively scalable real-time duplex trusted transit delivery of data between IoT devices (sensors, actuators, control systems etc.) and cloud based industrial applications that leverage low-latency transactions with real-time meta-data on localized usage, security and QoS. The PoC will simulate a real-world Industry 4.0* use case and demonstrate several value drivers for stakeholders driving IoT.<br />
<br />
This PoC will leverage Xaptum’s distributed Peering IP-Overlay Network for IoT and extend their peering Xaptum ENF (Edge Network Fabric) Run-Time Architecture to the mobile edge for low latency and secure communication in Industrial IoT devices and applications. By combining Xaptum ENF with Oberthur’s embedded cryptographic authentication SE (Secure Element) offering and vendor neutral TPM 2.0 (Trusted Platform Module) and DAA (Direct Anonymous Attestation) to both IoT device and application end-points, we shall be able to demonstrate several use-cases that meet stringent requirements for industrial applications as defined by leading Industry 4.0 standards.<br />
<br />
The entirety of the PoC will be deployed over an NFV infrastructure to highlight the benefits of COTS hardware and to reap the benefits of orchestration and automation. The PoC will leverage RIFT.io RIFT.ware, a commercially supported offering of the ETSI Open Source MANO (OSM).<br />
[[File:Poc9.png|center|600x600px|link=http://mecwiki.etsi.org/index.php?title=PoC_9_MEC_platform_to_enable_low-latency_Industrial_IoT]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_9_Platform_to_enable_low-latency_Industrial_IoT.docx MEC_Platform_to_enable_low-latency_Industrial_IoT]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
[[PT03 - MEC Architecture]]<br />
<br />
PoC Contribution to PT01 and PT03 (Technical Report) is expected by Q3 2017<br />
<br />
== PoC Report ==<br />
PoC Report is expected by Q4 2017</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_10_Service-Aware_MEC_Platform_to_Enable_Bandwidth_Management_of_RAN&diff=4193PoC 10 Service-Aware MEC Platform to Enable Bandwidth Management of RAN2024-03-26T17:18:27Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
Industry Technology Research Institute<br />
<br />
Linker Network<br />
<br />
FarEasTone<br />
<br />
Advantech<br />
<br />
== Main Contact ==<br />
Kuo-Wei Wen, ITRI [mailto:JimmyWen@itri.org.tw JimmyWen@itri.org.tw]<br />
<br />
Willy Kuo, Linker Networks [mailto:wguo@linkernetworks.com wguo@linkernetworks.com]<br />
<br />
Ming Lin, FarEasTone [mailto:mijlin@fareastone.com.tw mijlin@fareastone.com.tw]<br />
<br />
Paul Stevens, Advantech [mailto:paul.stevens@advantech.eu paul.stevens@advantech.eu]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 – ''Service-Aware MEC Platform for Service Offload with Enterprise Video Call/VoIP'', Jun 2017, Small Cell Forum Plugfest & 5G Workshop, NTUH Internal Convention Center, Taipei City, Taiwan<br />
<br />
Poc Demo 2 – ''Service-Aware MEC Platform for Traffic Offload and Static Bandwidth Management with Enterprise Video Call/VoIP'', Sep 2017, MEC Congress 2017, Berlin<br />
<br />
Poc Demo 3 – ''Service-Aware MEC Platform for Traffic Offload and Dynamic Bandwidth Management with Enterprise Video Call/VoIP or Tele-Drone'', Feb 2018, MWC 2018, Barcelona<br />
<br />
== Abstract ==<br />
This PoC utilizes two application contexts including Enterprise Video Call/VoIP and Tele-Drone to demonstrate the feature BandwidthManager of ETSI MEC FEATUREs defined in Mobile Edge Computing (MEC); Technical Requirements (ETSI GS MEC 002 V1.1.1). The PoC will be verified on multi-vendor EPCs which contain our team member FarEasTone (FET)’s EPC and the multi-vendor EPCs in ITRI’s 4G+/5G testbed. The MEC platform of our PoC executes as a Virtual Network Function (VNF) in a container-based or a Virtual Machine (VM) environment and provides an interface for installing the service application (APP) into a container or a VM and configuring a set of parameters for bandwidth management of a mobile network.<br />
[[File:Poc10.png|center|600x600px|link=https://mecwiki.etsi.org/index.php?title=PoC_10_Service-Aware_MEC_Platform_to_Enable_Bandwidth_Management_of_RAN]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_10_Service-Aware_MEC_Platform_to_Enable_Bandwidth_Manage.doc Service Aware MEC Platform to Enable Bandwidth]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
== PoC Report ==<br />
PoC Report is expected by Q1 2018</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_11_Communication_Traffic_Management_for_V2X&diff=4192PoC 11 Communication Traffic Management for V2X2024-03-26T17:17:52Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
KDDI Corporation<br />
<br />
Saguna Networks Ltd.<br />
<br />
Hewlett Packard Enterprise<br />
<br />
== Main Contact ==<br />
Tomonobu Niwa, KDDI [mailto:to-niwa@kddi.com to-niwa@kddi.com] and Masaki Suzuki, KDDI [mailto:mak-suzuki@kddi.com mak-suzuki@kddi.com]<br />
<br />
Lior Fite, Saguna [mailto:lior@saguna.net lior@saguna.net]<br />
<br />
Alex Reznik, HPE [mailto:alex.reznik@hpe.com alex.reznik@hpe.com]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 – ''Traffic coordination between MEC and vehicles with simulated vehicle transportation scenario'', Feb 2018, MWC 2018, Barcelona<br />
<br />
<del>PoC Demo 2 – ''Enhancement and quantitative analysis on the traffic coordination with dynamic vehicle transportation scenario'', Sep 2018, Edge Computing Congress 2018, Berlin</del><br />
<br />
== Abstract ==<br />
Connected vehicles generate various data with different priorities and the transportation road congestion may give lead to mobile network congestion, which interfere with urgent V2X communication. In the PoC, we will demonstrate how to harmonize and prioritize network traffic sent for vehicles with MEC system by using MEC services in order to control the mobile network congestion.<br />
[[File:Poc11.png|center|600x600px|link=https://mecwiki.etsi.org/index.php?title=PoC_11_Communication_Traffic_Management_for_V2X]]<br />
<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_11_Traffic_Management_for_V2X.doc Communication Traffic Management for V2X]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
<del>[[PT03 - MEC Architecture]]</del><br />
<br />
<del>[[PT04 MEC enabled vertical segments applications]]</del><br />
<br />
== PoC Report ==<br />
[//docbox.etsi.org/ISG/MEC/05-CONTRIBUTIONS/2019//MEC(19)000243r2_MEC_PoC11_report.zip PoC11_Final_Report]</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_12_MEC_enabled_Over-The-Top_business&diff=4191PoC 12 MEC enabled Over-The-Top business2024-03-26T17:17:02Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* China Unicom<br />
* ZTE<br />
* Intel<br />
* Tencent<br />
* Wo video<br />
* UnitedStack<br />
<br />
== Main Contact ==<br />
Huanzhang Lv, China Unicom [mailto:lvhz7@chinaunicom.cn lvhz7@chinaunicom.cn]<br />
<br />
Dan Chen, China Unicom [mailto:chendan49@chinaunicom.cn chendan49@chinaunicom.cn]<br />
<br />
== PoC Demo ==<br />
PoC Demo 1 – Tencent CDN, Mobile World Congress 2018, Barcelona <br />
<br />
PoC Demo 2 – Wo Video CDN and code rate adaptation experiment, MEC Congress 2018, Berlin <br />
<br />
== Abstract ==<br />
<br />
This ETSI MEC PoC is about enabling OTT business on MEC platform: distributing OTT’s CDN to the MEC platform in the network of China Unicom. The combination of CDN and MEC can reduce the RTT and increase the HTTP download rate. The MEC platform is crucial for China Unicom to cooperate with OTT partners for the advanced OTT business. China Unicom is considering to deploy and enable more applications and business such as AR/VR, security monitoring based on AI and location service on the MEC platform. <br />
[[File:Poc12.png|center|800x700px|link=https://mecwiki.etsi.org/index.php?title=PoC_12_MEC_enabled_Over-The-Top_business]]<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_12_MEC_platform_to_enable_OTT_business.docx MEC enabled OTT business]<br />
<br />
== PoC Topics ==<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
[[PT02 - MEC Metrics]]<br />
<br />
== PoC Report ==<br />
PoC Report is expected by Q1 2019</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_13_MEC_infotainment_for_smart_roads_and_city_hot_spots&diff=4190PoC 13 MEC infotainment for smart roads and city hot spots2024-03-26T17:16:25Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:26px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* TIM<br />
* Intel<br />
* Vivida<br />
* ISMB<br />
* City of Turin<br />
<br />
== Main Contact ==<br />
Antonio Manzalini, TIM<br />
[mailto:antonio.manzalini@telecomitalia.it antonio.manzalini@telecomitalia.it]<br />
<br />
== Abstract ==<br />
<br />
The use case aims at demonstrating innovative 4G/5G infotainment services for both pedestrians and car drivers/passengers in smart roads and city hot spots.<br />
<br />
4G/5G infotainment services are seamlessly provided both to car drivers/passengers and to pedestrians in smart roads and city hot spots (e.g., commercial areas, Stadium, Stations, during events/concerts etc).<br />
<p></p><br />
[[File:Poc13.png|center|600x600px|link=PoC_13_MEC_infotainment_for_smart_roads_and_city_hot_spots]]<br />
== PoC Proposal ==<br />
[//mecwiki.etsi.org/images/PoC_13_MEC_infotainment_for_smart_roads_and_city.docx MEC infotainment for smart roads and city hot spots]<br />
== PoC Topics ==<br />
<br />
This PoC is working on: <br />
<br />
[[PT01 - Demonstration of MEC Service Scenarios]]<br />
<br />
[[PT02 - MEC Metrics]]<br />
<br />
[[PT04 MEC enabled vertical segments applications|PT04 - PT04 MEC enabled vertical segments applications]]<br />
<br />
== PoC Report ==<br />
PoC Report is expected by end of Q4 2019</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_14_Network_resource_allocation&diff=4189PoC 14 Network resource allocation2024-03-26T17:15:19Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:30px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* CTTC<br />
* xFlow Research<br />
* Telefónica<br />
<br />
== Main Contact ==<br />
Ricard Vilalta, CTTC <br />
[mailto:ricard.vilalta@cttc.es ricard.vilalta@cttc.es]<br />
<br />
Muhammad Hamza, xFlow Research<br />
[mailto:muhammad.hamza@xflowresearch.com muhammad.hamza@xflowresearch.com]<br />
== Abstract ==<br />
<br />
'''MEC BandWidth Management (BWM)''' service and '''TeraFlowSDN''' can be used to provide dedicated resources for network resource allocation for Gaming. BWM allows applications to allocate specific amounts of bandwidth to gaming applications, while TeraFlowSDN provides a way to manage and control traffic flows. <br />
This can help to ensure that gaming traffic has priority over other traffic, which can improve the gaming experience for users.<br />
<br />
Here are some of the benefits of using MEC BWM and TeraFlowSDN for gaming networking: Improved gaming performance, reduced congestion, and Increased scalability. By ensuring that gaming traffic has priority, BWM and TeraFlowSDN can help to reduce latency and improve the overall gaming experience. <br />
<br />
By allocating specific amounts of bandwidth to gaming applications, BWM and TeraFlowSDN can help to reduce congestion on the network, which can improve the gaming experience for all users. Finally, BBM and TeraFlowSDN can be easily scaled to accommodate more users and traffic, which is important for gaming applications that are expected to grow in popularity.<br />
<br />
[[File:Poc14.png|center|600x600px|link=PoC_14_Network_resource_allocation]]<br />
== PoC Proposal ==<br />
<p><br />
Network resource allocation for Gaming using MEC BandWidth Management service and TeraFlowSDN<br />
[//mecwiki.etsi.org/images/MEC_PoC_TFS_BWM_v0.3.docx MEC PoC TFS BWM]<br />
</p><br />
<br />
== PoC Topics ==<br />
<br />
This PoC is working on: <br />
<br />
[[PT03 - MEC Architecture]]<br />
<br />
[[PT04 MEC enabled vertical segments applications|PT04 - PT04 MEC enabled vertical segments applications]]<br />
<br />
== PoC Report ==<br />
PoC Report is expected by end of 2024</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_16_MEC_based_Smart_production_and_scheduling&diff=4188PoC 16 MEC based Smart production and scheduling2024-03-26T17:14:32Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:34px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
<br />
{{DISPLAYTITLE:PoC 16 MEC based Smart production and scheduling}}<br />
<br />
== PoC Team ==<br />
* China Telecom<br />
* China Telecom Intelligent NETWORK Technology Co., LTD<br />
* Huawei<br />
<br />
== Main Contact ==<br />
Hongmei Zhu , China Telecom , <br />
[mailto:zhuhongm@chinatelecom.cn zhuhongm@chinatelecom.cn]<br />
<br><br />
== Abstract ==<br />
<br />
This PoC proposal describes the 5G MEC solution supporting industrial manufacturing for industrial production, detection, scheduling used in Park. With this solution, industrial production efficiency will be greatly improved.<br />
<br />
[[File:Poc16.png|center|800x800px|link=PoC_16_MEC_based_Smart_production_and_scheduling]]<br />
<br><br />
== PoC Proposal ==<br />
<p><br />
<br />
[//mecwiki.etsi.org/images/MEC_PoC_MEC_based_Smart_production_and_scheduling.doc MEC PoC MEC based Smart production and scheduling]<br />
</p><br />
<br><br />
== PoC Topics ==<br />
<br />
This PoC is working on: <br />
<br />
[[//mecwiki.etsi.org/index.php?title=PT01_-_Demonstration_of_MEC_Service_Scenarios PT01- Demonstration of MEC Service Scenarios ]]<br />
<br><br />
== PoC Report ==<br />
PoC Report is expected in Q2 2024</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_15_Distributed_MEC_based_AR_remote_maintenance_for_logistics_transportation&diff=4187PoC 15 Distributed MEC based AR remote maintenance for logistics transportation2024-03-26T17:13:58Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:34px;"> ←''[[Ongoing_PoCs|Ongoing PoCs]]''<p><br />
<br><br />
== PoC Team ==<br />
* China Telecom<br />
* China Telecom Intelligent NETWORK Technology Co., LTD<br />
* Huawei<br />
<br />
== Main Contact ==<br />
Hongmei Zhu , China Telecom , <br />
[mailto:zhuhongm@chinatelecom.cn zhuhongm@chinatelecom.cn]<br />
<br><br />
== Abstract ==<br />
<br />
This PoC proposal describes the 5G distributed MEC solution to support remote maintenance of AR in logistics transportation. This solution can effectively improve the efficiency of logistics transportation and reduce the maintenance cost.<br />
<br />
[[File:Poc15.png|center|600x600px|link=PoC_15_Distributed_MEC_based_AR_remote_maintenance_for_logistics_transportation]]<br />
<br><br />
== PoC Proposal ==<br />
<p><br />
[//mecwiki.etsi.org/images/MEC_PoC_Distributed_MEC_based_AR_remote_maintenance_for_logistics_transportation.doc MEC PoC Distributed MEC based AR remote maintenance for logistics transportation]<br />
</p><br />
<br><br />
== PoC Topics ==<br />
<br />
This PoC is WORKING on: <br />
<br />
[[//mecwiki.etsi.org/index.php?title=PT01_-_Demonstration_of_MEC_Service_Scenarios PT01- Demonstration of MEC Service Scenarios ]]<br />
<br><br />
== PoC Report ==<br />
PoC Report is expected in Q2 2024</div>Velezhttps://mecwiki.etsi.org/index.php?title=PoC_15_Distributed_MEC_based_AR_remote_maintenance_for_logistics_transportation&diff=4186PoC 15 Distributed MEC based AR remote maintenance for logistics transportation2024-03-26T17:12:00Z<p>Velez: </p>
<hr />
<div><p class="left" style="font-size:34px;"> ←''[[Ongoing_PoCs|PoCs List]]''<p><br />
<br><br />
== PoC Team ==<br />
* China Telecom<br />
* China Telecom Intelligent NETWORK Technology Co., LTD<br />
* Huawei<br />
<br />
== Main Contact ==<br />
Hongmei Zhu , China Telecom , <br />
[mailto:zhuhongm@chinatelecom.cn zhuhongm@chinatelecom.cn]<br />
<br><br />
== Abstract ==<br />
<br />
This PoC proposal describes the 5G distributed MEC solution to support remote maintenance of AR in logistics transportation. This solution can effectively improve the efficiency of logistics transportation and reduce the maintenance cost.<br />
<br />
[[File:Poc15.png|center|600x600px|link=PoC_15_Distributed_MEC_based_AR_remote_maintenance_for_logistics_transportation]]<br />
<br><br />
== PoC Proposal ==<br />
<p><br />
[//mecwiki.etsi.org/images/MEC_PoC_Distributed_MEC_based_AR_remote_maintenance_for_logistics_transportation.doc MEC PoC Distributed MEC based AR remote maintenance for logistics transportation]<br />
</p><br />
<br><br />
== PoC Topics ==<br />
<br />
This PoC is WORKING on: <br />
<br />
[[//mecwiki.etsi.org/index.php?title=PT01_-_Demonstration_of_MEC_Service_Scenarios PT01- Demonstration of MEC Service Scenarios ]]<br />
<br><br />
== PoC Report ==<br />
PoC Report is expected in Q2 2024</div>Velez