ETSI - LF - OCP - MEC Hackathon 2023: Difference between revisions
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== LF Edge - Akraino Blueprints == | == 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; | |||
* [https://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 | |||
* [https://wiki.lfedge.org/display/LE/LF+Edge+CatalogLF Edge Catalog] - recipes for edge deployment of templates | |||
* [https://wiki.lfedge.org/display/LE/Shared+Community+Lab LF Edge Community lab ]- Teams can reserve compute and networking resources | |||
== OCP == | |||
* Cloud / Edge Development Environments from OCP members | |||
** FLAX ([https://www.flaxcomputing.com/sustainable-server-labs https://www.flaxcomputing.com/sustainable-server-labs]) | |||
** QARNOT ([https://qarnot.com https://qarnot.com] ) | |||
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Revision as of 18:05, 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
- 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
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.
- 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:
- ETSI Forge:
- OpenAPI representations for the all the MEC Service APIs; implementation ready (forge.etsi.org/rep/mec)
- ETSI MEC Sandbox:
- Experimentation Environment for MEC Service APIs (try-mec.etsi.org)
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
- Cloud / Edge Development Environments from OCP members
- FLAX (https://www.flaxcomputing.com/sustainable-server-labs)
- QARNOT (https://qarnot.com )
Awarded projects
Podium
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
Winner Team
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 ”.
Big congratulations from the jury !!!
From Left to right: Vivekanandan Muthukrishnan, Bob Gazda (Jury) , Oleg Berzin
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:
- Bare metal, interconnection, virtual routing for MEC and Public Cloud IaaS/SaaS, across two operators/providers (a 5G operator and a MEC provider)
- 5G Control and User Plane Functions
- 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