By Topic

An adaptive heuristic approach for distributed QoS-based service composition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Jing Li ; State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China ; Yongwang Zhao ; Min Liu ; Hailong Sun
more authors

QoS-based service selection becomes a commonly accepted procedure to support rapid and dynamic web service composition. In this paper, we study the problem of QoS-based service selection in distributed QoS management environments where QoS values of alternative services are maintained by distributed QoS registries. A distributed heuristic approach is proposed to solve the problem efficiently with a high approximation ratio, and enable adaptability in distributed cross-organization environments with data privacy protection and a low cost of communication. The proposed approach consists of four stages in which variable elimination is used to reduce the size of the problem; constraint decomposition allows performing service selection independently on each QoS registry; supplementary service selection and concentrated optimization improve the approximation ratio. Performance analyses and simulation experiments show that the proposed approach performs efficiently with close-to-optimal results and fits well to distributed QoS management environments.

Published in:

Computers and Communications (ISCC), 2010 IEEE Symposium on

Date of Conference:

22-25 June 2010