Workload orchestration between vehicle and cloud using DMS
summary
A PoC implements a container-based orchestration layer called Piccolo operator that schedules mixed-critical SDV workloads across vehicle, edge CDC nodes and cloud (Amazon Graviton) using the Abar platform. Two demos show concrete outcomes: auto scaling based on FPS raises DMS frame rate from ~10 to ~20+ by scaling to a CDC worker, and dynamic deployment of an eye-detection microservice pins safety-critical inference to the vehicle while offloading noncritical uploads to cloud.
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chapters (8)
- 0:00Workload orchestration between vehicle and cloud using DMS(Driver Monitoring System) use case in a mixed critical environment
- 0:56How to achieve Mixed Critical Orchestration for SDV
- 2:43Micro Service Architecture for SDV (Micro Service)
- 4:35PICCOLO
- 5:56PoC Concept
- 7:38PoC System Architecture
- 8:18Demo 1 – Auto Scaling based on FPS
- 10:57Demo 2 – Add New Safety MSA feature
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