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BP State: Incubation BP. It has already been approved and voted by Akraino TSC Incubation Review at TSC 2022-06-28 (Tuesday) 7:00 am Pacific - Akraino - Akraino Confluence .

BP PTL Selection: This BP would like to start the PTL election process and committers could do the Self Nominate before 20/7/2022 24:00 BeijingTime (UTC+8). ( could recommend yourself in the form below this page.) Thanks.


Use case

Attributes

Description

Informational

Type

New 


Industry Sector

V2X、artificial Intelligence app、enterprise OA


Business driver

Real World needs:

-92 percent of respondents reported having a multi-cloud strategy* and has multi cloud vendors.

-Hybrid cloud management including public cloud, on premise and edge cloud.

-Multi-cluster deployment strategy to achieve high availability.

-Disaster recovery scenario. The application system is usually deployed in the geo-redundant mode.

-...


Business use cases

According to the CFN  Ubiquitous Computing Force Scheduling, the computing force of public cloud, edge cloud and external third parties is managed to achieve consistent cluster, policy, configuration and traffic management, and to achieve resource-level and task-level scheduling.

* Ubiquitous Computing Force concept:Logically, the computing force is more three-dimensional, including three levels: center, edge and terminal. Physically, resources span data centers in different regions. The kernel is heterogeneous, including general computing force ( x86/ARM ) and special computing force ( GPU/DPU... ).


Business Cost - Initial Build Cost Target Objective

Set up the infrastructure environment preparation to achieve multiple clusters management. Multi Cloud environment should be deployed in more than 3 servers in a single rack at a low cost.


Business Cost – Target Operational Objective

Build the Ubiquitous Computing Force Scheduling BP which includes:

-Set up the infrastructure environment to achieve multiple clusters management, and expand cluster from central cloud to edge cloud;

-Scheduling mechanism based on cloud-edge collaboration, such as traffic governance and scheduling across nodes;

-The management and monitoring of cloud and edge clusters;

-Enrich scheduling strategy;(such as latency, task type, etc.)


Security need

N/A


Regulations

N/A


Other restrictions

N/A


Additional details

N/A

more details see the attachment please

Blueprint Species:

Case Attributes

Description

Informational

Type

New


Blueprint Family - Proposed   Name

CFN (Computing Force Network) family


Use Case

XR, Video Streaming, V2X,Ubiquitous Computing Force Scheduling


Blueprint proposed Name

CFN (Computing Force Network) Ubiquitous Computing Force Scheduling


Initial POD Cost (capex)

At least 10 virtual machines, depends on deployment scale


Scale & Type

For large deployments, this could span to large number of virtual machines.


Applications

XR, Video Streaming, V2X(to be discussed)

Power Restrictions

N/A


Infrastructure orchestration

Upstream: Docker/K8s - Container  Orchestration

OS - Linux, such as Ubuntu


SDN

N/A


Workload Type

container


Additional Details

N/A




Committer

Committer

Company

 Committer Contact Info

Committer Bio

Committer Picture

Self Nominate for PTL (Y/N)

Hanyu Ding
China Mobiledinghanyu0502@hotmail.com

Y
Kevin WangHuaweiwangzefeng@huawei.com


Yanjun ChenChina Mobilechenyanjunyjy@chinamobile.com


Lei ShiChina Mobileshileiyj@chinamobile.com


Fanqin ZhouBUPTfqzhou2012@bupt.edu.cn


Baohong Ma MIGUmabaohong@migu.cn


Guangming Wang MIGUwangguangming@migu.cn


Zhonghu XuHuawei



Jianpeng HeHuawei










Contributor

Contributor

Company

 Contributor Contact Info

Contributor Bio

Contributor Picture




















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