Cart (Loading....) | Create Account
Close category search window
 

Broker-based Web service selection using learning automata

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)
Tabein, R. ; Dept. of Comput. & Inf. Technol. Eng., IAU of Qazvin, Qazvin ; Moghadasi, M.N. ; Khoshkbarforoushha, A.

For Web services providing similar functionality, Quality of service (QoS) is the main factor to differentiate them. In this paper, we propose a new approach which enables a more efficient service selection in dynamic environment of QoS Characteristics. First, we present a new Broker-based architecture for Web Services in which the role of service broker is separated from Service Quality Analyzer. Then we propose a three-phase technique that is performed by a third party broker. In phase one, we use the QoS Class concept to categorize service providers based on QoS issues. In phase two, we suppress the uncertainties of QoS provided by service provider using Learning Automata algorithm. Finally, we consider a third phase which is referenced to an AI Planning algorithm the result of which produces a chain of services while considering service requesters restrictions in service selection problems. In this paper, not only do we consider the past QoS acquisition of services, but we consider also the online variation of QoS characteristics in serving services. Hence, the QoS assessment is dynamic and performed online.

Published in:

Service Systems and Service Management, 2008 International Conference on

Date of Conference:

June 30 2008-July 2 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.