Flexible Mixed-Criticality Scheduling with Dynamic Slack Management

Mixed-criticality (MC) system has attracted a lot of research attention in the past few years for its resource efficiency. Recent work attempted to provide new MC model, so-called Flexible Mixed-Criticality (FMC) task relax pessimistic assumptions classic scheduling. However, FMC, behavior tasks is still analyzed offline stage. The run-time such as dynamic slack not yet been studied FMC scheduling framework. In this paper, we present utilization-based framework tasks. particular, monitor execution on run time and collect slacks generated by early completion. And these can then be used either high-criticality reduce mode-switches, or low-criticality so that less suspensions are triggered with more time, thus quality service improved. We evaluate our approach extensive simulations, experiment results demonstrate effectiveness proposed approaches.