A high performance load balance strategy for real-time multicore systems

Keng Mao Cho, Chun Wei Tsai, Yi Shiuan Chiu, Chu Sing Yang

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

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 the 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.

Original languageEnglish
Article number101529
JournalThe Scientific World Journal
Volume2014
DOIs
Publication statusPublished - 2014

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Environmental Science(all)

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