A server-based approach for overrun management in multi-core real-time systems

Abstract

This paper presents a server-based framework for task overrun management in multi-core real-time systems. Unlike most existing scheduling methods which usually assume a single upper bound of the Worst-Case Execution Time (WCET) for each task, our approach targets scenarios with task overruns. The main idea of our framework is to employ Synchronized Deferrable Servers (SDS) to deal with globally scheduled task overruns, while a partitioned scheduling approach is applied on regular task executions. Moreover, we provide a deterministic Worst-Case Response Time (WCRT) analysis focusing on hard timing constraints, along with a probabilistic analysis of Deadline Miss Ratio (DMR) for soft real-time applications. In the evaluation phase, we have implemented two types of experiments evaluating different timing constraints.