A DAG-based QoS-aware dynamic task placement framework is proposed for multi-stage control pipelines in networked robotics, using a windowed cost function and hysteresis to balance latency, utilization, and switching stability.
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DAG-Based QoS-Aware Dynamic Task Placement for Networked Multi-Stage Control Pipelines
A DAG-based QoS-aware dynamic task placement framework is proposed for multi-stage control pipelines in networked robotics, using a windowed cost function and hysteresis to balance latency, utilization, and switching stability.