Rural Edge blueprint for Tami COVID-19 Blueprint Family

Attributes

Description

Type

New

Industry Sector

Telco, Cloud, HealthCare, Education

Business driver

•With coronavirus spreading worldwide, video conferences with software terminals are used frequently during remote work   

•For vertical industries such as online education, remote telemedicine, and first response, some XR information will be added on the video conference, all these need low latency and high bandwidth network. 

Business use cases

1.  video conference on edge

2.  AR/VR on video conference on edge

3. EHR ( Electronic Health Record)

4. Wellness/RPG Games

5. LMS

Business Cost - Initial Build Cost Target Objective

Move currently public cloud-based zoom video applications to the edge, we can still remain the control plane on the cloud, and media plane to be close to customer site such as MEC servers in telco central offices. We choose ARM server to deploy the MEC platform to reduce the cost.

In order to support vertical industry specific AR/XR features during video conference, ARM server need have GPU inside. 

•2 X86 Nodes ( The PowerEdge XE2420 provides a short-depth, dense, Dual-socket, 2U server)

•Kubernetes v 1.17 

•GPU (NVIDIA V100/s or NVIDIA RTX6000)

Business Cost – Target Operational Objective

It more like a cloud platform, but it's specific for the edge site.  

•It needs Helm and Ansible for the automation and management tools to keep operational cost lower

•Maintain a mixed edge platform including x86 and Arm. 

•Kubernetes v1.17 

•Android 10.0

•GPU ( NVIDIA V100/s or NVIDIA RTX6000)

•Both Arm and X86 can support it.

Security need

Security mechanisms that can be implemented at each layer of abstraction. 

Regulations

N/A

Other restrictions

N/A

Additional details

N/A

Case Attributes

Description

Type

New

Blueprint Family - Proposed   Name

Tami COVID-19 Blueprint Family

Use Case

Video Conference on Edge

Blueprint proposed Name

Tami COVID-19 Blueprint Family: Remote cooperation based on video conference on Edge

Initial POD Cost (capex)

2 PowerEdge XE2420 bare metal machines Dual-socket, 2U server, 1 10G switch, 1  GPU

Scale & Type

For the smallest deployment, this requires 2 X86 bare metal machines. For large deployments, this could span to large number of bare metal machines.

Applications

Video conference for large scale soft-terminals, Online education, telemedicine, remote command in first response.

Power Restrictions

N/A

Infrastructure orchestration

Host:

•Orchestrator: Kubernetes

•Bare Metal Provisioning : Ansible

•Kubernetes Provisioning: KuD

•OS: Ubuntu

•GPU Driver: X86,NVIDIA:

•Network: OVS

•GPU Driver (X86, NVIDIA)

SDN

N/A

Workload Type

•Android applications 

Additional Details

N/A