By Topic

Flexible and intelligent architecture for quality-based Web service discovery with an agent-based approach

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

2 Author(s)
Rajendran, T. ; Dept. of Comput. Sci. &Eng., Angel Coll. of Eng. & Technol., Tirupur, India ; Balasubramanie, P.

Service-oriented architecture constitute a key technology for providing interoperability among heterogeneous systems, and integrating inter-organization applications in a loosely coupled fashion. However, the rapid growth of Web Services on the Internet makes services discovery become harder. Quality of Service is the key factor to differentiate web services with same functionality. In order to distinguish those similar functional services, quality criteria play a crucial role in selecting Web services in terms of their quality. According to a set of QoS criteria, candidate Web services are ranked by using some algorithm to find the best suitable Web services. The functional properties describe what the service can do and the nonfunctional properties depict how the service can do it. In this paper, we propose a Web service discovery architecture scheme based on user's requirement of the various non-functional properties along with functional requirements and interaction with the system. We propose a novel approach for designing and developing an agent-based architecture and its Quality Matching, Feedback Rating and Service Discovery algorithm for evaluating web services. The paper presents an effective approach for finding the most suitable web service according to the consumer's requirements.

Published in:

Communication and Computational Intelligence (INCOCCI), 2010 International Conference on

Date of Conference:

27-29 Dec. 2010