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SCHEDULE AT-A-GLANCE

DAY1. Wednesday, Oct 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. 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

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

18:35-18:55

(Time is tentative)
Name: Oleg Berzin , equinix
Presentation title: Introduction to PCEI Blueprint R7
Abstraction: 
Bio:


18:55-19:15

Name: Colin Peters , Fujitsu
Presentation title: 
Abstraction: 
Bio:

19:15-19:30Break
19:30-19:50

Name: Tina Tsou (Deactivated) , Arm
Presentation title: 
Abstraction: 
Bio:

19:50-20:10Time Slot#5
20:10-20:30Time Slot#6


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

Time(UTC-7)Topics
07:00-07:40

Tentative
Redhat presentation about IOWN


07:40-08:00

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.

08:00-08:10Break
08:10-08:50

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.


09:10-09:50

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.

09:10-09:50Name: Alexandre Ferreira, ARM
Presentation Title: LF Edge catalog
Abstraction:
Bio:


09:50-10:00Closing