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SCHEDULE AT-A-GLANCE
DAY1. Wednesday, Oct 18
at OCP global summit(On site only) |
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1 hour on-site discussion
Agenda(Idea)
Collaboration with other communities
Outreach
Next Akraino release and 2024 activities |
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Day2. Thursday, Oct 19 (APAC time zone friendly) |
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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) |
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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 |
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| 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:
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| 18:55-19:15 | Name: Colin Peters , Fujitsu
Presentation title:
Abstraction:
Bio: |
| 19:15-19:30 | Break |
| 19:30-19:50 | Name: Tina Tsou (Deactivated) , Arm
Presentation title:
Abstraction:
Bio: |
| 19:50-20:10 | Time Slot#5 |
| 20:10-20:30 | Time 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 |
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| 07:00-07:40 | Tentative
Redhat presentation about IOWN
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| 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. |
| 08:00-08:10 | Break |
| 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.
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| 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.
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| 09:50-10:00 | Closing |