Research on Merging Cluster Algorithm for QoS-Oriented Supply and Demand

摘要：

　　Discovering service-on-demand for large numbers of functionality-similar web services is one of the key issues in service discovery study.To find out the proper service among the functionality-similar web services,a merging cluster algorithm regarding QoS-oriented supply and demand is proposed in this paper.To meet the target,FCM clustering is adopted for agglomerative clustering between the users QoS requirement information and the QoS information from Web Service resources.Then,the sequence could be determined by similarity computation with the same clustering.Lastly,the numerical example is presented to illustrate that the service-on-demand can be discovered efficiently and effectively.

关键词： Merging cluster algorithm Similarity computation Supply and Demand

作者: Xiuzhen Feng Gaofeng Wu

作者单位: Economics & Management School, Beijing University of Technology, Beijing, 100124, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 4625-4629

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）