Service Evaluation-Based Resource Selection in Cloud Manufacturing

被引：0

作者：

Zhao, Yan-Wei ^{[1
]}

Zhu, Li-Nan ^{[1
]}

机构：

[1] Zhejiang Univ Technol, Minist Educ, Key Lab Special Purpose Equipment & Adv Proc Tech, Hangzhou 310014, Zhejiang, Peoples R China

来源：

COOPERATIVE DESIGN, VISUALIZATION, AND ENGINEERING, CDVE 2014 | 2014年 / 8683卷

关键词：

cloud manufacturing; resource selection; service evaluation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the development of cloud computing, cloud manufacturing has been gained more and more attention. According to the peculiarity of cloud manufacturing, the resource designated as manufacturing service is always massive, complex and heterogeneous, and the high degree of user participation, and user diversity are also the main features. This paper presents a method of resource selection based on service evaluation, which consists of predictive evaluation and recommended evaluation. In detail, predictive evaluation is based on user's historical service evaluations which may have different influence according to the experience in different time. Recommended evaluation is given by the recommenders who are generated by 2-step selection and have different recommended weight according to their similarities and objectivities. Finally, experiment results show that the proposed algorithm has better performance.

引用

页码：294 / 302

页数：9