计算机科学

计算机科学 ›› 2019, Vol. 46 ›› Issue (10): 128-134.doi: 10.11896/jsjkx.180801591

• 网络与通信 • 上一篇    下一篇

云环境下基于优先级的多QoS约束工作流调度

杜艳明1, 肖建华2   

  1. (浙江工业职业技术学院 浙江 绍兴312000)1
    (南开大学现代物流研究中心 天津300071)2
  • 收稿日期:2018-08-29 修回日期:2019-01-19 出版日期:2019-10-15 发布日期:2019-10-21
  • 通讯作者: 杜艳明(1972-),男,硕士,副教授,主要研究方向为可信计算与云计算,E-mail:383128720@qq.com.。
  • 作者简介:肖建华(1979-),男,博士,副教授,硕士生导师,主要研究方向为智能计算、物流系统优化。
  • 基金资助:
    本文受国家自然科学基金项目(60903105)资助。

Workflow Scheduling Strategy with Multi-QoS Constraint Based on Priority in Cloud Environment

DU Yan-ming1, XIAO Jian-hua2   

  1. (Zhejiang Industry Polytechnic College,Shaoxing,Zhejiang 312000,China)1
    (Research Center of Logistics,Nankai Univeristy,Tianjin 300071,China)2
  • Received:2018-08-29 Revised:2019-01-19 Online:2019-10-15 Published:2019-10-21

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摘要： 为了实现云计算环境中工作流调度的执行时间与代价的均衡优化,提出了一种截止时间与预算双QoS约束条件下的工作流均衡调度算法。该算法将最优调度方案的求解过程划分为两个阶段:资源分级调度阶段和任务分级调度阶段。资源分级调度阶段中,算法通过任务升秩值定义任务优先级,并将任务按升秩值排序后为任务选择满足双QoS约束的适合资源集;进一步,在任务分级调度阶段,算法定义了4条满足时间/代价均衡的最优资源选择规则,进而得到最优工作流调度方案。通过设计算例,详细阐述了新算法的思想。最后,通过现实科学工作流的仿真测试,将所提算法与同类算法进行了性能比较。结果表明,在不同紧密程度的约束条件下,所提算法在调度代价、调度时间和调度成功率等指标上均表现出更优的性能,可以有效实现均衡调度。

关键词: 多QoS约束, 工作流调度, 任务优先级, 预算约束, 云计算环境

Abstract: For implementing the trade-off optimization between the execution time and cost of scientific workflow scheduling in cloud environment,this paper proposed a Time-Cost trade-off workflow Task Scheduling algorithm (TCTS) under bi-constrainted condition of deadline and budget.TCTS divides the solving process of the optimal schedu-ling scheme into two stages:the resource levelscheduling stage and the task level scheduling stage.In the resource level scheduling stage,the algorithm defines the priority of a task by the upward rank,and selects the suitable resource set satisfying bi-QoS constraints for tasks according to tasks’ rank.Further,in the task level scheduling stage,the algorithm defines four rules of selecting the optimal resource based upon Time-Cost trade-off,which can obtain the optimal workflow scheduling scheme.This paper elaborated the idea of the proposed algorithm by a designed example.Through the simulation tests of real-world scientific workflows,the proposed algorithm is compared with the same types of algorithms.The results show that under the constraint conditions with different tight degrees,the proposed algorithm has better perfor-mance on some indexes such as the scheduling cost,the scheduling time and the schedule success,which will effectively realize the balanced scheduling.

Key words: Budget constraint, Cloud computing environment, Multi-QoS constraint, Task’s priority, Workflow scheduling

中图分类号: 

  • TP393
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