Safety-Critical Edge Robotics Architecture with Bounded End-to-End Latency

End-to-end principle
DOI: 10.48550/arxiv.2406.14391 Publication Date: 2024-06-20
ABSTRACT
Edge computing processes data near its source, reducing latency and enhancing security compared to traditional cloud while providing benefits. This paper explores edge for migrating an existing safety-critical robotics use case from onboard dedicated hardware solution. We propose architecture based on Linux, Docker containers, Kubernetes, a local wireless area network the TTWiFi protocol. Inspired by previous work real-time cloud, we complement with resource management orchestration layer help Linux manage, Kubernetes orchestrate system-wide shared resources (e.g., caches, memory bandwidth, network). Our aims ensure fault-tolerant predictable execution of robotic applications path planning) upper-bounding end-to-end ensuring best possible quality service without jeopardizing safety security.
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