基于马尔可夫过程的云服务组合QoS量化评估方法研究  

Research on QoS Quantitative Evaluation Method of Cloud Service Composition Based on Markov Process

作　　者：焦扬[1] 陈喆[1] 梁员宁[2] 李东星[1] 

机构地区：[1]解放军信息工程大学 [2]中国人民解放军78179部队

出　　处：《计算机科学》2015年第9期127-133,共7页Computer Science

基　　金：国家"863"计划基金资助项目(2008AA01Z404);国防预研基金资助项目(9140A26010306JB5201)资助

摘　　要：针对云服务组合的QoS量化评估方法进行了研究。基于组合云服务环境中虚拟动态性和服务随机性的特点,提出了基于BPEL流程的云服务组合实现框架;在随机Petri网理论的基础上建立了组合云服务流程网模型(CCSPNet),进而应用马尔可夫过程对其进行性能评估,提出了云服务组合的六维QoS评价体系,并结合CCSPNet模型提出了云服务组合的QoS定量评估方法。通过应用实例分析表明,提出的方法具有较好的动态适应性和灵活性,能有效满足云服务应用环境的QoS评估需求。This paper studied the QoS quantitative evaluation method of cloud service compositioru On the basis of the characteristics of combined cloud service environment of virtual dynamic nature and random service, this paper put for- ward the realization frame of cloud service composition based on BPEL workflow, established the combined cloud ser- vice process net（CCSPNet） based on the theory of stochastic Petri net, evaluated the performance with Markov process, and proposed the six-dimensional QoS evaluation system and the QoS quantitative evaluation method of cloud service composition combined with the CCSPNet module. The application example shows that the new method has bet- ter dynamic adaptability and flexibility and can satisfy QoS evaluation requirement of cloud service application environ- ment effectively.

关 键 词：云计算 服务组合 马尔科夫过程 QoS评估 

分 类 号：TP302[自动化与计算机技术—计算机系统结构]