计算机科学 ›› 2013, Vol. 40 ›› Issue (8): 129-135.

• 信息安全 • 上一篇    下一篇

云服务可靠性优化方法研究

梁员宁,陈建良,叶笠   

  1. 中国人民解放军78179部队 成都611830;中国人民解放军78179部队 成都611830;中国人民解放军78179部队 成都611830
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国防预研基金项目(9140A26010306JB5201)资助

Research on Reliability Optimal Method of Cloud Service

LIANG Yuan-ning,CHEN Jian-liang and YE Li   

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对云服务的冗余特性和可靠性保障的需求,探讨了提高云服务可靠性的有效途径。基于云服务的可靠性体系框架和管理模式,提出了信任冗余的云服务可靠性增强总体框架;在服务准备时的冗余设计阶段,基于选举协议的云服务轮询检测机制,设计了信任感知的容错服务选择算法,给出了最小容错服务个数的求解方法;基于服务组合运行时的容错处理框架,提出了保证服务响应时间的基于失效规则的云服务调用策略。实验结果表明,提出的容错服务选择算法和云服务调用策略具有较好的实用性和有效性。

关键词: 云服务,可靠性设计,信任冗余,失效规则

Abstract: In allusion to the redundant features and reliability guarantee requirements,this thesis tried to explore the effective ways for improving cloud service reliability.A trust redundancy reliability enhancement framework of cloud ser-vice was put forward based on the reliability architectue and management model.On the redundant design phase of the service being ready,based on the failure polling detection algorithm of voting protocol,a trust-aware fault-tolerant ser-vice selection algorithm was designed,and the calculation methods of min-number of fault-tolerant services were given.Based on the running fault-tolerant management framework of services combination,a cloud service invoking policy of ensuring service response time based on failure rules was presented.Experiments show that the fault-tolerant service selection algorithm and the cloud service invoking police have more practicality and effctiventness.

Key words: Cloud service,Reliability design,Trust redundancy,Failure rule

[1] Jayasinghe D.FAWS-a client transparent fault tolerance system for SOAP-based Web services[EB/OL].http://www-128.ibm.com/ developerworks/webservices/library/ws-faws/,2005
[2] Liang D,Fang C L,Chen C,et al.Fault-tolerant Web service[A]∥Proceedings of the 10th Asia2Pacific Software Engineering Conference(APSEC’03)[C].ChiangMai,Thailand,2003:310-319
[3] Santos G T,Lung L C,Montez C.FTWeb:a fault tolerant infrastructure for Web services[A]∥The 2005Ninth IEEE International EDOC Enterprise Computing Conference(EDOC’05)[C].Enscheda,Netherlands,2005:95-105
[4] Lin M,Chang M,Chen D.Distributed-program reliability analysis:complexity and efficient algorithms[J].IEEE Transactions on Reliability,1999,48(1):87-95
[5] Yang M,Wang L N.Research of Web service reliability en-hancement method based on trust fault tolerant[J].Journal on Communications,2010,31(9):131-138
[6] Tian G H,Meng D,Zhan J F.Reliable Resource Provicion Policy for Cloud Computing[J].Chinese Journal of Computers,2010,33(10):1859-1872
[7] Heath T,Martin R P,Nguyen T D.Improving cluster availability using workstation validation[A]∥Proceedings of the ACM SIGMETRICS[C].Marina Del Rey,California,USA,2002:217-227
[8] Sahoo R K,Sivasubramaniam A,Squillante M S,et al.Failuredata analysis of a large-scale heterogeneous server environment[A]∥Proceedings of the DSN 2004[C].Florence,Italy,2004:772-784
[9] Shereshevsky M,Crowell J,Cukic B,et al.Software aging andmulti-fractality of memory resources[A]∥Proceedings of the 33rd DSN 2003[C].San Francisco,Ca,USA,2003:721-730
[10] Huang Y,Kintala C,Kolettis N,et al.Software rejuvenation:Analysis,module and applications[A]∥Proceedings of the 25th Symposium on Fault Tolerant Computer Systems[C].Pasadena,California,1995:381-390

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