A High Performance Load Balance Strategy for Real-Time Multicore Systems

Keng-Mao Cho, Chun-Wei Tsai, Yi-Shiuan Chiu, Chu-Sing Yang
2014 The Scientific World Journal  
Finding ways to distribute workloads to each processor core and efficiently reduce power consumption is of vital importance, especially for real-time systems. In this paper, a novel scheduling algorithm is proposed for real-time multicore systems to balance the computation loads and save power. The developed algorithm simultaneously considers multiple criteria, a novel factor, and task deadline, and is called power and deadline-aware multicore scheduling (PDAMS). Experiment results show that
more » ... proposed algorithm can greatly reduce energy consumption by up to 54.2% and the deadline times missed, as compared to the other scheduling algorithms outlined in this paper.
doi:10.1155/2014/101529 pmid:24955382 pmcid:PMC4009124 fatcat:63666lr5bbeplppfbk3ltcbtmy