Global Multiprocessor Scheduling with Job Level Priority Assignment

Abstract

In the field of real-time multiprocessor scheduling, researchers have found that global scheduling on average results in better resource utilization than partitioned scheduling, and is more robust in the presence of timing errors. In this paper, we present a global scheduling algorithm JPA with Job-level Priority Assignment for sporadic task systems that can be viewed as a generalization of both FPS and EDF. We also introduce JPA's efficient variant, which greatly reduces the runtime overhead comparing with JPA. As will be shown by the experiments, JPA indeed exhibits much better performance than the state-of-the-art multiprocessor scheduling/analysis techniques based on FPS and EDF.