Attributes | Description |
Type | New |
Industry Sector | HealthCare, Education |
Business driver | With corona virus spreading worldwide, 62% Rural kids are missing their classes since the Pandemic started, due to no or very low internet bandwidth. While teachers and students are predominantly from surrounding areas, there is no need for the video feeds to be processed 100s or 1000s of miles away from the rural network. Processing at the edge will allow localized educational platform to operate with low internet bandwidth. |
Business use cases |
|
Business Cost - Initial Build Cost Target Objective | Host Video applications, Health Application, LMS on the edge, control plane on the cloud, and media plane close to customer site such as MEC servers in telco central offices. We choose X86 server to deploy the MEC platform to reduce the cost. •2 X86 Nodes ( The PowerEdge XE2420 provides a short-depth, dense, Dual-socket, 2U server) •Kubernetes v 1.17 (Open Source) •GPU (NVIDIA V100/s or NVIDIA RTX6000) for AR/VR and AI |
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, IOS •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 | |
Use Case |
|
Blueprint proposed Name | Tami COVID-19 Blueprint Family: RuralEdge |
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 | Online Education(Sage.Camp), Telehealth(docs@home), Gamification(Roblox), Video Processing |
Power Restrictions | N/A |
Infrastructure orchestration | Host: •Orchestrator: Kubernetes •Bare Metal Provisioning : Ansible •Kubernetes Provisioning: KuD •OS: Ubuntu •Database: MySQL /MariaDB •Application: Python, Node.js, React •GPU Driver: X86,NVIDIA •Network: OVS, WebRTC •GPU Driver (X86, NVIDIA) |
SDN | N/A |
Workload Type | •Android /IOS applications |
Additional Details | N/A |
Committer | Committer Company | Committer Contact Info | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) |
Arm | N | ||||
Wenhui Zhang | |||||
Biswajit De | hibisu2006@gmail.com | ||||
Surojit Banerjee | surojitb@amazon.com | ||||
K. Daya | sdayak@gmail.com |