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SCHEDULE AT-A-GLANCE

DAY1. Wednesday, Oct 18
at OCP global summit(On site only)


16:00~17:00 PDT (UTC-7)  
Location is the following.


1 hour on-site discussion
  Agenda(Idea)
    Collaboration with other communities
    Outreach 
    Next Akraino release and 2024 activities




Day2. Thursday, Oct  19 (APAC time zone friendly)


18:00 – 21:00 PDT (UTC-7)
21:00 – 24:00 EDT (UTC-4)
03:00 – 06:00 CEST (UTC+2) (Friday)
09:00 – 12:00 CST (UTC+8) (Friday)
Keynote Sessions


Day3. Friday, Oct 20 (EMEA time zone friendly)


07:00 – 10:00 PDT (UTC-7)
10:00 – 13:00 EDT (UTC-4)
16:00 – 19:00 CEST (UTC+2)
22:00 – 01:00 CST (UTC+8)
Keynote Sessions


Day2. Thursday, Oct  19 (APAC time zone friendly)

Introduction to Akraino activities in 2022-2023

Zoom Link: https://zoom.us/meeting/register/tJAqfumpqDgpHtLYIi5TDpVj-k6Ymx0Uq0aY

Time(UTC-7)Topics
18:00-18:05

Welcome note
Yin Ding TSC Chair
Haruhisa Fukano TSC Co-Chair

18:05-18:35

Announcement of akraino award 2022-2023 winners
Yin Ding TSC Chair
Haruhisa Fukano TSC Co-Chair

Winners of the 3rd Akraino Annual Awards 2022 - 2023 - Akraino - Akraino Confluence

18:35-18:55

Name: Colin Peters , Fujitsu

Presentation title: Edge Service Enabling Platform Fall 2023 Update

Abstract:

The Edge Service Enabling Platform is a blueprint in development under Akraino with the goal of creating a platform for a community of device and resource providers and edge service designers and maintainers, where those individual experts can cooperate to make the design and implementation of edge services easier. This presentation will cover the goals of work on the blueprint in 2023 and what progress we have made.

Bio:

Colin Peters is a software architect and business planner for edge computing at Fujitsu. He is currently leading the Edge Service Enabling Platform development project at Fujitsu, to help expand and develop the edge computing market. He has also been the PTL for the Smart Data Transactions for CPS blueprint, and continues to work with the open source community wherever he can for the spread and evolution of edge computing.

18:55-19:15

Name: Tina Tsou (Deactivated) , Director, Arm; Board Chair, LF Edge
Presentation title: LF Edge AI Edge Proposal
Abstraction

In today's rapidly evolving tech landscape, edge computing has become the linchpin for latency-sensitive applications and deployments, enabling real-time data processing closer to the data sources. The LF Edge AI Edge proposal aims to introduce an advanced framework that integrates AI with edge computing, thus fostering efficiency, scalability, and adaptability in numerous applications and systems.

This presentation will offer an in-depth analysis of the LF Edge AI Edge proposal, elucidating the significance, challenges, and advantages it holds for the future of computing. We will explore the architecture, use-cases, and future prospects that the project envisions, highlighting its potential in revolutionizing how data-driven insights are generated at the edge. Attendees will gain a comprehensive understanding of the project's roadmap, collaboration opportunities, and the transformative potential the integration of AI with edge computing possesses.


Bio

Tina Tsou is a passionate technologist and a prominent advocate for the amalgamation of AI and edge computing. With over 23 of experience in infrastructure, Tina has been an instrumental figure in numerous innovative projects and initiatives. Holding a degree in XAUAT and Stanford University, Tina's expertise lies in edge computing and AI. As a prolific speaker and contributor to LF Edge and Akraino, Tina is dedicated to fostering collaboration and innovation in the tech community.


For more information, please visit the official LF Edge AI Edge proposal page: https://wiki.lfedge.org/display/LE/Project+AI+Edge

19:15-19:30

TSC chair & co-chair nomination start(Close Oct.27)
Chair & Co-Chair Election 2023-202 - Akraino - Akraino Confluence

19:30-19:35

Closing


Waiting for reply about making presentation
・CFN BP
・LF Edge sandbox
・OSSi







DAY1 10/18 at OCP global summit(On site only)
  1 hour on-site discussion
  Agenda(Idea)
    Collaboration with other communities
    Outreach 
    Next Akraino release and 2024 activities

DAY2 10/19 18:00~21:00(UTC-7)
           09:00~12:00(UTC+8)(10/20)
           03:00~06:00(UTC+2)
DAY3 10/20 07:00~10:00(UTC-7)
           22:00~01:00(UTC+8)
           16:00~19:00(UTC+2)
  Presentation session(Virtual)

Day3. Friday, Oct  20 (EMEA time zone friendly)

Collaboration with other open communities

Zoom Link:
https://zoom.us/w/94790163346?tk=EWQsF0DpU2W4QNY4yySTpJjoHxhUqvruCn36Q7XzL3w.DQQAAAAWEe8bkhZJYmxURGFMdFJrZTkzSVZ1SHVVYVV3AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA&pwd=SXpKUWFPWmJsMkVHZGNmVXFNeFBCUT09

 

Time(UTC-7)Topics
07:00-07:05

Opening Yin Ding

07:05-07:45

Name: Hidetsugu Sugiyama, redhat
Title:Leveraging the IOWN Global Forum PoC reference cases

A technical look at AI-integrated Communications and Cyber-Physical Systems enabled by IOWN APN and Data centric infrastructure across edge, core and cloud environments 

Abstraction:

https://www.redhat.com/en/blog/leveraging-innovative-optical-and-wireless-network-iown-reference-cases-core-edge-and-cloud-deployments 

https://www.redhat.com/ja/blog/green-opportunity-telco-transform-packet-networking-computing-iown-innovative-optical-and-wireless-network

07:45-08:05

Name: inoue , Fujitsu

Presentation title: LF edge and IOWN joint PoC plan
Abstraction:
The amount of data and computation required for computing workloads is increasing at an accelerating rate, and reducing power consumption and evolving data bandwidth are becoming challenges. At the same time, fast responding time is also required. Solving these challenges and realizing future workloads in the 2030s will require a paradigm shift in communications and computing.
Against this background, IOWN and LF Edge signed an MOU. 
IOWN(Innovative Optical and Wireless Network) Global forum are focusing on next generation communications and computing infrastructure and technology to realize future workload. LF Edge are developing software and architectures to enable our workload primarily from the edge computing side.
I believe that the combination of IOWN technology and LF Edge OSS will enable future workload and improve the performance of use cases. So I'm planning a joint PoC(Proof of Concept) using two community technologies. This presentation will introduce the points to be demonstrated in the PoC and future plans.

08:05-08:15Break
08:15-08:55

Name: Alexandre Ferreira, ARM
Presentation Title: LFEdge Catalog proposal and demo
Abstraction:
LFEdge Catalog shows how LFEdge applications can be packaged in a easily deployable form. A catalog is also available allowing users to manage life-cycle of applications: deploy, update, and remove. The catalog utilizes open-source technologies like helm charts and OpenTofu scripts. SMARTER edge demo is used to demonstrate how an application can be cataloged and deployed.

Bio:
Alexandre P. Ferreira joined Arm in 2017 as a Principal Software Architect. He received his B.S. in Electrical Engineering from Universidade de Brasilia, M.S. in Computer Science from Universidade Federal de Santa Catarina and PhD in Computer Science from University of Pittsburgh in 2011. He has 10 publications and 7 patents in Computer Science. He is also a senior IEEE member since 2009. At Arm he has working on IoT related subjects like resource management.


08:55-09:35

Name: Rick Cao, Meta
Presentation Title: LF Edge AI Edge project
Abstraction:
Bio:
Rick Cao is an AI researcher in Meta focusing on Generative AI and large language models. He’s currently focusing on retrieval argumented language models. He previously worked in Ads ranking area focusing on ads targeting and delivery. Prior to Meta, he worked in the Cloud AI area at AWS SageMaker.


09:35-09:55

Name: Oleg Berzin , Equinix
Presentation title: MEC Service Federation with DevOps MEC Infra Orchestration (PCEI Blueprint R7)

Abstract: 

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, 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, we show how it is possible for providers to enable sharing of their services in a MEC Federation environment.


Bio:

Oleg Berzin received his Ph.D. from Drexel University in Philadelphia, PA. Dr. Berzin worked at Verizon for 20 years, where he held technology leadership roles, including development of the 4G LTE network and capabilities for enterprise mobile and Machine-to-Machine (M2M) services. Oleg is currently a Senior Distinguished Engineer, Technology and Architecture at the Office of the CTO at Equinix, where he is responsible for development of innovation strategies and architectures and prototypes in the areas of Mobile and Fixed Edge Infrastructures, Internet of Things, Next Generation Interconnection and Networking, Virtualization, and Network Automation. Oleg is proud to hold Lifetime Emeritus status for his three CCIE certifications (R&S, WAN Switching, SP). He is honored to have served as Co-chair of the Linux Foundation Edge Akraino Technical Steering Committee and as Project Technical Lead of the Linux Foundation Akraino Public Cloud Edge Interface blueprint.

09:55-10:15

Name: Jeff Brower , Signalogic, Inc.

Update on small-form factor robotics platform for SSES  blueprint. We have are working on a very small language model (VSLM) uses two (2) CPU cores and updates every 1/2 sec. The objective of this model is to correct errors in Kaldi or Whisper ASR output and increase the flexibility and "conversational range" of robot commands

10:15-10:20Closing
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