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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 ARM NodesX86 Nodes ( The PowerEdge XE2420 provides a short-depth, dense, Dual-socket, 2U server) •Kubernetes v 1.17 for ARM17 •GPU (AMD, NVIDIANVIDIA 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. It's more complex •Kubernetes v1.17 for ARM17 •Android 10.0 •GPU ( AMD, NVIDIANVIDIA 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 |
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Case Attributes | Description |
Type | New |
Blueprint Family - Proposed Name | |
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 Arm 2 PowerEdge XE2420 bare metal machines Dual-socket, 2U server, 1 10G switch, 1 AMD 1 GPU |
Scale & Type | For the smallest deployment, this requires 2 Arm 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：AnsibleProvisioning : Ansible •Kubernetes Provisioning：KuDProvisioning: KuD •OS: Ubuntu •GPU Driver: AMD X86,NVIDIA: •Network: OVS •GPU Driver (AMDX86, NVIDIA) |
SDN | N/A |
Workload Type | •Android applications |
Additional Details | N/A |
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