基于模糊QoS的云服务资源选择方法  

The Way of Cloud Service Selection Based on Fuzzy QoS

作　　者：刘娜娜[1] 魏汪洋[1] 吴庆涛[1] 张明川[1] 郑瑞娟[1] 

机构地区：[1]河南科技大学信息工程学院,河南洛阳471023

出　　处：《微电子学与计算机》2015年第8期41-44,共4页Microelectronics & Computer

基　　金：国家自然科学基金(61370221)

摘　　要：在整合虚拟云服务资源的基础上,将模糊集理论引入到基于服务质量(QoS)的云服务资源选择中.首先,利用哈希算法生成用户QoS需求属性标签,并根据属性标签从云服务资源中检索出初步的候选服务集.然后采用模糊集理论表征无法精确表示的用户需求的偏好信息,并将用户需求进行归一化处理.最后计算出用户的综合满意度,选择出满足用户需求的云服务.The fuzzy sets theory is applied into QoS-based cloud service selection on the basis of virtual cloud service resource integration.Firstly,attribute tag was realized in Hash algorithm according to users′Qos requirements.The primary candidate service set was chosen from cloud service resource according to attribute tag.Users′preferenes were expressed through fuzzy set theory,and the users′requirement was normalized.At last,the users′degree of satisfaction was worked out,and the cloud service which meets the demard of users＇ was chosed.

关 键 词：云服务选择 QOS属性 模糊集 用户满意度 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]