ETSI - LF - OCP - MEC Hackathon 2023: Difference between revisions

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== ETSI MEC resources ==
== ETSI MEC resources ==
* Suggested ETSI MEC Services and APIs:
* Suggested ETSI MEC Services and APIs:
** [https://forge.etsi.org/rep/mec/gs011-app-enablement-api MEC011] - MEC Platform Application & Service Enablement (Mp1)
** [https://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)
** [https://forge.etsi.org/rep/mec/gs012-rnis-api MEC012]- Radio Network Information Service (RNIS)
** [https://forge.etsi.org/rep/mec/gs012-rnis-api MEC012] - Radio Network Information Service (RNIS):  4G / 5G radio network contextual info
** [https://forge.etsi.org/rep/mec/gs013-location-api MEC013] - Location Service
** [https://forge.etsi.org/rep/mec/gs013-location-api MEC013] - Location Service:  network and geo-location information about terminals and infrastructure, etc.
** [https://forge.etsi.org/rep/mec/gs021-amsi-api MEC021] - Application Mobility Service (AMS)  
** [https://forge.etsi.org/rep/mec/gs015-bandwith-mgmt-api MEC015] - Bandwidth Management Service & Multi-access Traffic Steering Service
** [https://forge.etsi.org/rep/mec/gs028-wai-api MEC028] - WLAN Access Information Service (WAIS)  
** [https://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
** [https://forge.etsi.org/rep/mec/gs030-vis-api MEC030] – V2X Information Service (VIS)  
** [https://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
** [https://forge.etsi.org/rep/mec/gs028-wai-api MEC028] - WLAN Access Information Service (WAIS):  WiFi network contextual info
** [https://forge.etsi.org/rep/mec/gs030-vis-api MEC030] – V2X Information Service (VIS):  predicted quality of service for vehicle routes
 
* ETSI Forge:
* ETSI Forge:
** OpenAPI representations for the all the MEC Service APIs; implementation ready [https://forge.etsi.org/rep/mec (forge.etsi.org/rep/mec)]
** OpenAPI representations for the all the MEC Service APIs; implementation ready [https://forge.etsi.org/rep/mec (forge.etsi.org/rep/mec)]
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* '''3<sup>nd</sup> Prize''' : Team "PalC" from PalC Networks
* '''3<sup>nd</sup> Prize''' : Team "PalC" from PalC Networks


 
<!--
== Winner Team ==
== Winner Team ==
<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>
<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>
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* 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
* 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
* 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
* 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>
== Details of the awarded projects ==
== Details of the awarded projects ==
Coming Soon !!!
<!--
=== [[Hack2022_1st_Prize|1<sup>st</sup> Prize : Equinix & Aarna Networks]]  ===
=== [[Hack2022_1st_Prize|1<sup>st</sup> Prize : Equinix & Aarna Networks]]  ===


=== [[Hack2022_2nd_Prize|2<sup>nd</sup> Prize : CTTC & Vicomtech]]  ===
=== [[Hack2022_2nd_Prize|2<sup>nd</sup> Prize : CTTC & Vicomtech]]  ===
=== [[Hack2022_3rd_Prize|3<sup>rd</sup> Prize : Optare Solutions]]  ===
=== [[Hack2022_3rd_Prize|3<sup>rd</sup> Prize : Optare Solutions]]  ===
-->

Revision as of 18:12, 2 November 2023


ETSI/LF Edge/OCP

Edge AI Hackathon 2023


Organization and scope

Details

  • Driven by ETSI ISG MEC, LF Edge Akraino and OCP
  • Final Phase hosted at OCP Global Summit in San Jose, California

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:

•AI and Automation:  How to utilize edge-native and AI into data analytics and automation?

•Sustainability:  How is edge-native and AI useful to enhance sustainability in applications, services, and networks?

•5G Edge: How to deploy and utilize AI in 5G edge infrastructure to enable edge-native distributed applications?

The Edge AI Hackathon 2023 was run remotely 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


Hack2023.png
  • 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.
  • 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.
  • 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.
  • 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:
    • Automotive: Realize a vehicular use case or service to enable intelligent traffic control, driving capabilities, increased safety, etc.
    • Mixed and Augmented Reality: Realize an immersive application enabling interactivity of physical systems and human experiences.
    • Edge Computing and 5G: Deploy and use 5G and hybrid edge infrastructure to enable federation for distributed edge applications

However, teams were also encouraged to be creative and propose to develop solutions in other application verticals than these highlighted.

Supporting organizations

Sponsors2022.png

Hackathon phases:

  • Call for developers: 29 June
  • Hackathon start - Remote Competition: 17 July
  • Team Final Submission - remote competition: 15 Sept
  • Short-list teams announced: 25 Sept
  • Onsite competition: 18 Oct
  • 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.
Ocp hall.png


  • Prizes :
    • Exposure at the OCP Global Summit – 3 best teams
    • Travel expensed to San Jose - ~$2,000 per team
    • Cash Prizes:
      • First place - $3000
      • Second place - $2000
      • Third place - $1000


Resources

ETSI MEC resources

  • Suggested ETSI MEC Services and APIs:
    • MEC011 - Edge Platform Application Enablement (Mp1):  MEC App and Service Support and Management (e.g., MEC application registration, MEC service advertisement and discovery)
    • MEC012 - Radio Network Information Service (RNIS):  4G / 5G radio network contextual info
    • MEC013 - Location Service:  network and geo-location information about terminals and infrastructure, etc.
    • MEC015 - Bandwidth Management Service & Multi-access Traffic Steering Service
    • MEC016 - Device Application Interface:  service that enables terminal devices to discovery MEC applications and create application contexts
    • MEC021 - Application Mobility Service (AMS):  relocation of user context between MEC application instances across deployed MEC platforms
    • MEC028 - WLAN Access Information Service (WAIS):  WiFi network contextual info
    • MEC030 – V2X Information Service (VIS):  predicted quality of service for vehicle routes

LF Edge - Akraino Blueprints

  • Set of Six Akraino Blueprints / Families
    • 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;
  • Akraino Platform Security Architecture - Core knowledge about platform security, requirements, and its importance for Edge solutions
  • Edge Catalog - recipes for edge deployment of templates
  • LF Edge Community lab - Teams can reserve compute and networking resources

OCP



Awarded projects

Podium

Hack2023 podium.jpeg


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.

The Jury has reviewed and awarded the following Top projects:

  • 1st Prize : Team "Green Cyclops" from Optare Solutions
  • 2nd Prize : Team "Sheikah Tower" from Google LLC
  • 3nd Prize : Team "PalC" from PalC Networks



Details of the awarded projects

Coming Soon !!!