ASDYS: Dynamic Scheduling Using Active Strategies for Multifunctional Mixed-Criticality Cyber–Physical Systems

Emerging cyber-physical systems (CPSs), such as in the domains of automotive, robotics, and industrial automation, often run complex functions with different criticality levels on a heterogeneous distributed architecture. The ever stronger interactions between cyber components physical environment lead to dynamic irregular release these functions. This article investigates scheduling mixed-criticality functions, where each function is modeled by directed acyclic graph no assumption its period or minimum interarrival time. Unlike existing methods that passively address mixed remedy when deadline misses are observed-this results high miss ratio (DMR), it particularly undesirable for high-criticality functions-we propose novel approach using active strategies (ASDYS short), actively treated throughout process. Automotive CPSs used an example illustration. Experimental show our significantly better than both DMR overall system DMR.