一种基于云模型的组合服务选择方法  

Research on representative Skyline service selection approach based on cloud model

作　　者：谢晓燕[1] 钱宇[1] 王丽[1] 

机构地区：[1]西安邮电大学计算机学院,陕西西安710121

出　　处：《西安邮电大学学报》2016年第6期114-117,共4页Journal of Xi’an University of Posts and Telecommunications

基　　金：陕西省自然科学基金资助项目(2013JC2-32)

摘　　要：针对Web服务选择问题,提出一种以云模型为基础的代表性Skyline服务选择方法。该方法利用云模型进行服务不确定性的筛选,从中选取代表性Skyline服务,建立代表性服务树作为整数规划选择模型的输入,最后通过整数规划模型求解出满足需求的最优服务。对比结果表明,该方法能够快速、准确地选择出满足用户需求的服务,在保证成功率的基础上使得时间花费有所提升。A representative Skyline service selection approach based on cloud model is proposed in this paper for the efficiency,accuracy and reliability of the Web service selection.In this approach cloud model is used to filter the uncertainty of services and to select representative Skyline services,and to establish a representative service tree which is also the input of integer programming.Integer programming is then employed to select the best service to meet the need.Experimental results from the testing on the real datasets show that the proposed approach can meet users＇ needs reliably and quickly,and improve 10 times of time spending in the premise of selecting the best service.

关 键 词：云模型 不确定性 代表性Skyline 服务选择 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]