基于云模型的SaaS决策方法

摘要

The optimal software as a service (SaaS) selection based on Quality of Service (QoS) is still challenging because user rating with fuzziness and randomness makes QoS uncertain and decision-making hard .This paper presents a SaaS decision-mak-ing method based on cloud model (SDM-CM ) to solve the above difficulties for the first time .It includes two main steps :(1 ) Converting the rating QoS criteria to the cloud model QoS criteria by using the backward QoS cloud generator .(2 ) Proposing a multiple attribute decision-making algorithm based on cloud model ,which draws on the effective and common multiple attribute de-cision-making algorithm (technique for order preference by similarity to an ideal solution ,TOPSIS ) .The last ,a set of experiments demonstrate the benefits and effectiveness of our approach .%用户评分的模糊性、随机性表现出服务质量（QoS ）的不确定性是软件即服务（SaaS ）最优服务选择研究的难题之一。提出一种基于云模型的SaaS服务决策方法（SDM－CM ）以解决上述难题。该方法首先使用逆向QoS云发生器将评分描述的QoS指标转换为云模型描述的QoS指标；接着借鉴多属性决策分析中常用、有效的多属性决策算法-优劣解距离法（TOPSIS ），提出基于云模型的SaaS最优服务决策算法。最后，在真实的服务质量数据基础上，验证了该方法的优越性和有效性。