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Model driven design of distribution patterns for web service compositions

Barrett, Ronan and Pahl, Claus orcid logoORCID: 0000-0002-9049-212X (2006) Model driven design of distribution patterns for web service compositions. In: IWMEC 2006 - International Workshop on Models for Enterprise Computing, 19 December 2006, Chicago, IL, USA. ISBN 0-7695-2669-1

Abstract
Increasingly, distributed systems are being constructed by composing a number of discrete components. This practice, termed composition, is particularly prevalent within the Web service domain. Here, enterprise systems are built from many existing discrete applications, often legacy applications exposed using Web service interfaces. There are a number of architectural configurations or distribution patterns, which express how a composed system is to be deployed. However, the amount of code required to realise these distribution patterns is considerable. In this paper, we propose a novel Model Driven Architecture using UML 2.0, which takes existing Web service interfaces as its input and generates an executable Web service composition, based on a distribution pattern chosen by the software architect.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/ICWS.2006.92
Copyright Information:©2006 IEEE. 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.
Funders:Irish Research Council for Science Engineering and Technology
ID Code:15946
Deposited On:09 Dec 2010 11:03 by Shane Harper . Last Modified 22 Jan 2021 14:02
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