Barrett, Ronan and Pahl, Claus ORCID: 0000-0002-9049-212X (2009) Distribution pattern-driven development of service architectures. Journal of Universal Computer Science, 15 (11). pp. 2166-2195. ISSN 0948-6968
Abstract
Distributed systems are being constructed by composing a number of discrete components. This practice is particularly prevalent within the Web service domain in the form of service process orchestration and choreography. Often, enterprise systems are built from many existing discrete applications such as 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 in a distributed environment. However, the amount of code
required to realise these distribution patterns is considerable. In this paper, we propose a distribution
pattern-driven approach to service composition and architecting. We develop, based on a catalog of patterns, a UML-compliant framework, which takes existing Web service interfaces as its input and generates executable Web service compositions based on a distribution pattern chosen by the software architect.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Subjects: | Computer Science > Software engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Publisher: | Graz University of Technology;Universiti Malaysia Sarawak |
Official URL: | http://dx.doi.org/10.3217/jucs-015-11-2166 |
Copyright Information: | Copyright 2008 Journal of Universal Computer Science |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Irish Research Council for Science Engineering and Technology |
ID Code: | 15968 |
Deposited On: | 09 Dec 2010 14:21 by Shane Harper . Last Modified 25 Jan 2021 17:14 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
198kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record