Attributes | Description |
Type | New |
Industry Sector | HealthCareHealthCare, 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 1. video conference on edge 2. AR/VR with edge 3. EHR ( Electronic Health Record) 4. Wellness/RPG Games 5. LMS |
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Business Cost - Initial Build Cost Target Objective | Move currently public cloud-based video Host Video applications, Health Application, LMS to on 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 X86 server to deploy the MEC platform to reduce the cost. In order to support vertical industry specific AR/XR features during video conference, X86 server with GPU inside. •2 X86 Nodes ( The PowerEdge XE2420 provides a short-depth, dense, Dual-socket, 2U server) •Kubernetes v 1.17 •GPU 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 ArmARM. •Kubernetes v1.17 •Android 10.0 •GPU •Android, IOS •GPU ( NVIDIA V100/s or NVIDIA RTX6000) •Both Arm 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 CaseVideo Conference |
|
Blueprint proposed Name | Tami COVID-19 Blueprint Family: Rural EdgeRuralEdge |
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. |
ApplicationsVideo | conference , Online education, Telehealth, Wellness/RPG Games.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 |
As per the Akraino Community process and directed by TSC, a blueprint which has only one nominee for Project Technical Lead (PTL) will be the elected lead once at least one committer seconds the nomination after the close of nominations. If there are two or more, an election will take place.
Self Nominations begins on 16 December 2020 and will conclude on 23 December 2020
Committer | Committer Company | Committer Contact Info | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) |
Arm | N | ||||
Wenhui Zhang |
Bytedance | wenhuizhang.psu@gmail.com | N | |||
Biswajit De | hibisu2006@gmail.com | ||||
Surojit Banerjee | AWS | surojitb@amazon.com | Y | ||
K. Daya | sdayak@gmail.com | ||||
Apoorv Salaria | DHS | apoorvsalaria@gmail.com | |||
Subhranshu Das | Ericsson | subhranshu.das@gmail.com |