A novel local optimization method for QoS-aware web service composition

Xiaojie Si*, Xuyun Zhang, Wanchun Dou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review


QoS-aware web service selection has become a hot-spot research topic in the domain of web service composition. In previous works, the multiple tasks recruited in a composite schema are usually considered of equal importance. However, it is unreasonable for each task to have the absolutely same weight in certain circumstances. Hence, it is a great challenge to mine the weights among different tasks to reflect customers' partial preferences. In view of this challenge, a novel local optimization method is presented in this paper, which is based on a two-hierarchy weight, i.e., weight of task's criteria and weight of tasks. Finally, a case study is demonstrated to validate the feasibility of our proposal.

Original languageEnglish
Title of host publicationWeb Information Systems and Mining
Subtitle of host publicationInternational Conference, WISM 2010, Proceedings
EditorsFu Lee Wang, Zhiguo Gong, Xiangfeng Luo, Jingsheng Lei
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Number of pages8
ISBN (Electronic)9783642165153
ISBN (Print)9783642165146
Publication statusPublished - 2010
Externally publishedYes
EventInternational Conference on Web Information Systems and Mining - Sanya
Duration: 23 Oct 201024 Oct 2010

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


ConferenceInternational Conference on Web Information Systems and Mining


  • QoS
  • weight
  • service composition
  • local optimization


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