中国邮电高校学报(英文) ›› 2009, Vol. 16 ›› Issue (5): 125-130.doi: 10.1016/S1005-8885(08)60279-4

• Others • 上一篇    

Research on user-aware QoS based Web services composition

刘枫,LEI Zhen-ming   

  1. Key Laboratory of Information Processing and Intelligent Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2009-05-07 修回日期:1900-01-01 出版日期:2009-10-30
  • 通讯作者: 刘枫

Research on user-aware QoS based Web services composition

LIU Feng , LEI Zhen-ming   

  1. Key Laboratory of Information Processing and Intelligent Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2009-05-07 Revised:1900-01-01 Online:2009-10-30
  • Contact: LIU Feng

摘要:

To improve user experience of composite Web services, a user-aware quality of service (QoS) based Web services composition model is proposed. Under such model, a Web services selection method based on quantum genetic algorithm is proposed. This algorithm uses quantum bit encoding, dynamic step-length quantum gate angle adjustment, neighborhood service search and dynamic punishment strategy to expand search scope and speed up convergence. Simulation experiment shows that this algorithm is more efficient than other existing algorithms in Web services selection.

关键词:

Web;services;composition,;user;awareness,;quality;of;service,;quantum;genetic;algorithm

Abstract:

To improve user experience of composite Web services, a user-aware quality of service (QoS) based Web services composition model is proposed. Under such model, a Web services selection method based on quantum genetic algorithm is proposed. This algorithm uses quantum bit encoding, dynamic step-length quantum gate angle adjustment, neighborhood service search and dynamic punishment strategy to expand search scope and speed up convergence. Simulation experiment shows that this algorithm is more efficient than other existing algorithms in Web services selection.

Key words:

Web services composition;user awareness;quality of service;quantum genetic algorithm