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《山东大学学报(理学版)》 ›› 2019, Vol. 54 ›› Issue (1): 103-115.doi: 10.6040/j.issn.1671-9352.3.2018.143

• • 上一篇    

基于失效规律感知的可靠动态级云资源调度算法

齐平1,2,王福成2,王必晴1,2,梁昌勇1   

  1. 1.合肥工业大学管理学院, 安徽 合肥 230039;2.铜陵学院数学与计算机科学系, 安徽 铜陵 244000
  • 发布日期:2019-01-23
  • 作者简介:齐平(1981— ), 男, 博士, 副教授,研究方向为可信计算、粒计算. E-mail:qiping929@gmail.com
  • 基金资助:
    国家自然科学基金重点资助项目(71331002);安徽省高校优秀青年骨干人才国内外访学研修项目(gxfx2017113);铜陵学院人才科研启动基金项目(2015tlxyrc08)

Dynamic level scheduling algorithm for cloud computing based on failure regularity-aware

QI Ping1,2, WANG Fu-cheng2, WANG Bi-qing1,2, LIANG Chang-yong1   

  1. 1. School of management, Hefei University of Technology, Hefei 230039, Anhui, China;
    2. Department of Mathematics and Computer Science, Tongling University, Tongling 244000, Anhui, China
  • Published:2019-01-23

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摘要： 由于云系统资源的动态性、异构性和广域性等特征,云计算环境下运行的并行任务易受资源节点失效和通信链路故障的影响而无法完成。针对动态提供云资源可靠性较低,且在失效恢复机制作用下资源失效规律参数动态变化的问题,首先使用两参数威尔布(Weibull)分布对不同时段资源节点和通信链路失效规律的局部特征进行描述,再根据并行任务之间存在的各类交互关系分析,提出了一种基于变参数失效规则的资源可靠性评估模型。最后将该模型并入DLS算法得到可靠动态级调度算法CFR-DLS,从而在计算调度级别时充分考虑备选资源的可靠程度。仿真实验结果表明,当选择合适的失效恢复参数,提出的CFR-DLS算法能够在大幅提高云服务可靠性的同时,只增加少量的额外失效恢复开销。

关键词: 云计算, 失效规律, 威尔布分布, 失效恢复机制, 可靠性评估

Abstract: Due to the characteristics of dynamic, heterogeneity and distributed, parallel tasks in cloud computing environment cannot be accomplished because they are vulnerable to resource node failure and communication link failure. Aiming at the problem that the reliability of dynamically providing cloud resources is low and the parameters of resource failure law are dynamically changing under the failure recovery mechanism. Firstly, the local characteristics of failure nodes and communication links in different periods are described by using Weibull distribution. Then, according to the analysis of various kinds of interaction between parallel tasks, a resource reliability evaluation model based on variable parameter failure rules is proposed. Finally, the model is incorporated into the DLS algorithm to obtain the reliable dynamic level scheduling algorithm CFR-DLS, so that the reliability of alternative resources is fully considered when calculating the scheduling level. Simulation results show that the proposed CFR-DLS algorithm can greatly improve the reliability of cloud services while only increasing a small amount of additional failure recovery overhead.

Key words: cloud computing, failure regularity, Weibull distribution, failure recovery mechanism, reliability estimation

中图分类号: 

  • TP301.6
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