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虚拟化云平台中实时任务容错调度算法研究

王 吉,包卫东,朱晓敏   

  1. 国防科学技术大学 信息系统工程重点实验室,湖南 长沙 410073
  • 出版日期:2014-10-25 发布日期:2014-10-15
  • 基金资助:
    高等学校博士学科点专项科研基金资助项目(20134307110029);国家自然科学基金资助项目(61104180);西南电子电信技术研究室公开课题基金资助项目(2013001)

Fault-tolerant scheduling algorithm for real-time tasks in virtualized cloud

  • Online:2014-10-25 Published:2014-10-15

摘要: 为了在云平台下满足实时系统的高可靠性要求,提出了一种虚拟化云平台中的容错调度算法(FSVC, fault-tolerant scheduling algorithm in virtualized clouds),FSVC通过主副版本方法来实现对物理主机的容错,采用副版本重叠技术与虚拟机迁移技术来提高算法的调度性能。为了达到容错的要求,分析了这2种技术应满足的约束。此外,FSVC中包含了一种两阶段策略以进一步提高算法性能。大量仿真实验表明,在虚拟化云平台中,FSVC能有效地提高系统可调度性与资源利用率。

Abstract: In order to achieve the high reliability of real-time systems in virtualized clouds, a fault-tolerant scheduling algorithm for virtualized clouds named FSVC that used primary-backup approach to tolerate physical host failures was proposed. FSVC strived to enhance the performance by employing backup-backup overlapping technique and virtual Machine migration technique. The constraints of the two techniques were elaborately analyzed to realize fault tolerance. Besides, a two-phase policy was incorporated in FSVC to further improve the performance. Simulation experiments demonstrated that FSVC can improve the schedulability and resource utilization effectively in virtualized clouds.

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