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

  • Authors:

  • Xiaojie Si;Xuyun Zhang;Wanchun Dou

  • Affiliations:

  • State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China and Department of Computer Science and Technology, Nanjing University, Nanjing, China;State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China and Department of Computer Science and Technology, Nanjing University, Nanjing, China;State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China and Department of Computer Science and Technology, Nanjing University, Nanjing, China

  • Venue:
  • WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
  • Year:
  • 2010

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Abstract

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.