By Topic

Dynamic broker-based service selection with QoS-driven recurrent counter classes

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
$33 $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

2 Author(s)
Reza Tabein ; Department of Computer and Information Technology Engineering at IAU of Qazvin, Iran ; Ali Nourollah

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 leveraging recurrent counter classes. 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:

2008 International Conference on Service Systems and Service Management

Date of Conference:

June 30 2008-July 2 2008