一种云服务的质量模型研究

A Quality Model of Cloud Computing Using Multi-factor Strategy

云计算的本质是提高服务质量和投资回报,也是增强软件的复用率和缩短软件研发时间一种有效的可伸缩计算模式,而怎样通过云计算的服务质量来提高计算和软件研发效率是云计算研究的主要内容之一.因此,针对这个问题,本文提出一种满足云服务的多指标体系的质量模型优化方法,该方法通过从Web服务质量(QoS)、SaaS、PaaS、IaaS和用户需求等角度来分析云服务质量结构,并通过AHP(Analytic Hierarchy Process)进行分析获得各指标权重分配,从而建立多因子的云服务质量模型的执行最优树模型,并采用遗传算法进行优化分析.最后通过测试表明:该方法有效且可行.

The nature of cloud computing is to improve service quality and ROI （ Return On Investment } , is also to improve reusabili- ty of software, and to shorten time of software development. However, how to use service quality mode improving efficiency of cloud computing, which is a study content in the paper. Thus, a quality model of multi-factor stratety is presented, which defines and designs factors and methods of cloud quality from QoS, SaaS, PaaS, IaaS and UR（ User Requirement）, and employ AHP to compute weight of each quality factores, then, according to the resluts build a cloud quality model trees, and employ GA（ Genetic Algorithm） to optimize the model. Finally, employ Amazon to design a sample as a test showed that the approach is effective and availability.