Harmonic semi-partitioned scheduling for fixed-priority real-time tasks on multi-core platform

This paper presents a new semi-partitioned approach to schedule sporadic tasks on multi-core platform based on the Rate Monotonic Scheduling (RMS) policy. Our approach exploits the well known fact that harmonic tasks have better schedulablility than non-harmonic ones on a single processor. The challenge for our approach, however, is how to take advantage of this fact to assign and split appropriate tasks on different processors in the semi-partitioned approach. We formally prove that our scheduling approach can successfully schedule any task sets with system utilizations bounded by the Liu&Layland's bound. Our extensive experiment results demonstrate that the proposed algorithm can significantly improve the scheduling performance compared with the previous work.