Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Agent-supported web service composition for supply chain management

Language

English

Abstract

Web service composition requires allocating suitable resources to a set of services that constitute a composite service. The problem is complicated by the fact that the availability of resources may be uncertain and change over time, and the constraints of component services may not be completely known in advance. It needs the ability to rapidly and dynamically identify suitable resources and coordinate them under various constraints. In this paper, an agent mediated coordination framework for Web service composition is proposed in the context of e-supply chain management (e-SCM). Global constraints to be satisfied by the composite service are first translated into local constraints of its component services. Service brokering agents dedicated to discovery of component services interact autonomously with each others for refining the local constraints based on the candidate services' instantaneous status until a sufficiently good composition is identified. Although presented in the context of supply chain management, this framework is applicable to other problem areas where a set of services are composed as a result of a large resource repository to be searched, scheduled and coordinated, especially in a real-time fashion.

Keywords

Web services, Supply chain management, Availability, Time factors, Context-aware services, Uncertainty, Supply chains, Resource management, Humans, Process planning

Publication Date

6-2006

Source Publication Title

Proceedings of the 8th IEEE International Conference on E-Commerce Technology and the 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE’06)

Conference Location

San Francisco, United States

Publisher

IEEE

Peer Reviewed

1

Copyright

Copyright © 2006 by The Institute of Electrical and Electronics Engineers, Inc.

Funder

This work was supported by RGC Central Allocation Group Research Grant (HKBU 2/03/C).

DOI

10.1109/CEC-EEE.2006.10

Link to Publisher's Edition

http://dx.doi.org/10.1109/CEC-EEE.2006.10

ISSN (print)

23781963

ISSN (electronic)

23781971

ISBN (print)

9780769525112

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