Journal of Northeastern University ›› 2012, Vol. 33 ›› Issue (3): 357-360+376.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Research on parallel real time scheduling and memory allocation algorithm on multi-core platform

Zhou, Ben-Hai (1); Qiao, Jian-Zhong (1); Lin, Shu-Kuan (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China; (2) Key Laboratory of Software System and Development Generic Technology, Northeastern University, Shenyang 110819, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Zhou, B.-H.
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Abstract: With low power consumption and high performance characteristics, multi-core processors have occupied the main market. Aiming at parallel real time scheduling on multi-core platform, a scheduling algorithm combined with local and global EDF was proposed. The budgets, deadline partition, and task migration time were decided by the proposed CPU width reserved server. A memory allocation method was presented, which could manage the memory resources for parallel real time tasks effectively. Experimental results showed that the proposed new scheduling algorithm has a higher scheduling success rate. In addition, using the presented memory partition algorithm, real-time characteristics and stability of tasks were assured in memory competition situation.

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