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 |
...