We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

One Size Does Not Fit All: A Group-Based Service Selection for Web-Based Business Processes

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

3 Author(s)
Suleiman, B. ; NICTA, UNSW, Sydney, NSW, Australia ; da Silva, C.E. ; Sakr, S.

Web service failures or degradations directly cause operational inefficiencies and financial losses in Web service-based business processes (WSBP). In today's competitive Web service market a considerable number of functionally-similar Web services offered by different providers are differentiated by competitive QoS levels and pricing structures. Consequently, dynamic and optimal Web service selection is a significant challenge to business organizations which run such WSBPs. Having a cost-effective and efficient Web service selection approach is becoming an important necessity for such organizations. Current Web service selection approaches offer "one-size-fits-all"; solution, i.e., one optimal service selection for all running BP instances. However, such solutions are neither efficient nor cost-effective given that the service levels of WSBPs are associated with customers classes/profiles, e.g., Gold, Silver or Bronze. Therefore, we propose a group-based Web service selection approach, "one-size-does-not-fit-all", that optimizes multiple QoS criteria and differentiate the service selection based on the BP customers classes/profiles. Our approach shows a very good improvement over existing "one-size-fits-all" approaches; 65% average cost reduction and 30% utility value improvement.

Published in:

Advanced Information Networking and Applications (WAINA), 2011 IEEE Workshops of International Conference on

Date of Conference:

22-25 March 2011