Blueprint species:
Use Case Attributes | Description | Informational |
Type | New |
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Blueprint Family | Integrated Edge Cloud (IEC) |
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Use Case | Safety and security, driving assistant |
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Blueprint proposed Name | IEC Type 3: Autonomous vehicles as the edge |
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Initial POD Cost (capex) | N/A |
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Scale & Type | One per vehicle |
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Applications | Video Processing for AutoDriving (especially training deep learning models)
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Power and memory restrictions | Autonoumous vehicles are power and memory constrained. |
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Infrastructure orchestration | Need Geolocation correlation with deep learning model (the trained ones in binary format) |
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SDN | Calico and K8s, and Containers serving as client/server (a database to collect raw videos/video streams) and server/client (a database for trained models in binary format) |
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Workload Type |
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| Dataplane | VPP w/ Direct GPU (e.g. GPUnet) | |
Additional Details | Different bus connection: Ethernet, CANbus, etc. There are mainly 4 pieces:
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Committer | Committer Company | Committer Contact Info | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) |
Baidu | |||||
| Arm | |||||
| PSU | N |
Proposed PTL:
Contributors:
@soshun@soshun.arai@arm.com
Committers: