文献类型：会议论文

英文题名：A Novel Intelligent Service Selection Method for Third-Party IT Service

作者：Zhai, Jie[1];Zhang, Haiteng[1];Hu, Guolin[1];He, Gaoqi[1];You, Lujin[2]

机构：[1]ECUST, Dept Comp Sci & Engn, Shanghai, Peoples R China;[2]Shanghai Dragonnet Technol Inc Co, Shanghai, Peoples R China

会议论文集：4th IEEE International Conference on Progress in Informatics and Computing (IEEE PIC)

会议日期：DEC 23-25, 2016

会议地点：Shanghai, PEOPLES R CHINA

语种：英文

外文关键词：The third party IT service; Min-cost function; ID-GSS method

摘要：The third party IT service providers with multi brand service abilities maintain the competitive advantage over single original equipment manufacturers. It's a professional and efficient way to select a suitable service from each type of services to form a unified system of "one-stop" service for the user. D-GSS method is presented to match services' QoS with users' QoS requirements. A key challenge is how to enhance the efficiency of D-GSS method. Therefore, an improved discrete group search service (ID-GSS) is presented in this paper. The framework is mainly based on the producer scrounger-ranger model. A min-cost function is presented in this paper to help all members in the group to find their respective approximate optimal solutions at each iteration more quickly. Thus ID-GSS has faster convergence speed than D-GSS. We study the convergence of ID-GSS method through verification and simulations.