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Title

Modelling and solving QoS composition problem using fuzzy DisCSP

Author(s)

Nguyen, Xuan Thang;  Kowalczyk, Ryszard;  Phan, Manh Tan

Abstract

Web service compositions have attracted considerable efforts in the context of supporting enterprise application integrations. For a composite service, in addition to its functional requirements, QoS requirements are important and deserve a special attention. The central question to a QoS composition problem is how to compose a service from different subcomponent services so that its overall QoS can satisfy certain requirements. In this paper, we propose an agent-based method using fuzzy distributed constraint satisfaction problem (fuzzy DisCSP) techniques to solve this problem. We show that by using the composition structures, local constraints can be constructed and used with DisCSP. We also present an a new algorithm called the fuzzy constraint satisfaction algorithm for distributed environment (FADE) to solve the problem and discuss our experiment in building a prototypical system to prove the feasibility of our approach.

Publication type

Conference paper

Research centre

Swinburne University of Technology. Faculty of Information and Communication Technologies

Source

Proceedings of the 2006 IEEE International Conference on Web Services (ICWS 2006), Chicago, Illinois, United States, 18-22 September 2006, pp. 55-62

Publication year

2006

FOR Code(s)

0806 Information Systems

Keyword(s)

Agent-based method;  Constraint theory;  Enterprise application integration;  Functional requirements;  Fuzzy constraint satisfaction algorithm for distributed environment;  Fuzzy distributed constraint satisfaction problem;  Fuzzy set theory;  QoS composition problem;  Software agents;  Web service composition;  Web services

Publisher

IEEE

ISBN

0769526991

Publisher URL

http://dx.doi.org/10.1109/ICWS.2006.93

Copyright

Copyright © 2006 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Full text

Peer reviewed