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

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

研究成果: Article同行評審

9 引文 斯高帕斯(Scopus)


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.

期刊The Scientific World Journal
出版狀態Published - 2014

All Science Journal Classification (ASJC) codes

  • 生物化學、遺傳與分子生物學 (全部)
  • 環境科學 (全部)


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