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An architecture for autonomic web service process planning

Moore, Colm and Wang, MingXue and Pahl, Claus (2009) An architecture for autonomic web service process planning. In: Binder, Walter and Dustdar, Schahram, (eds.) Emerging Web Services Technology. Whitestein Series in Software Agent Technologies and Autonomic Computing , III . Springer (Birkhaeuser), pp. 117-130. ISBN 978-3-0346-0103-0

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Web service composition is a technology that has received considerable attention in the last number of years. Languages and tools to aid in the process of creating composite Web services have been received specific attention. Web service composition is the process of linking single Web services together in order to accomplish more complex tasks. One area of Web service composition that has not received as much attention is the area of dynamic error handling and re-planning, enabling autonomic composition. Given a repository of service descriptions and a task to complete, it is possible for AI planners to automatically create a plan that will achieve this goal. If however a service in the plan is unavailable or erroneous the plan will fail. Motivated by this problem, this paper suggests autonomous re-planning as a means to overcome dynamic problems. Our solution involves automatically recovering from faults and creating a context-dependent alternate plan. We present an architecture that serves as a basis for the central activities autonomous composition, monitoring and fault handling.

Item Type:Book Section
Uncontrolled Keywords:Web Services; Service composition; Autonomic composition; Composition architecture
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:UNSPECIFIED
Publisher:Springer (Birkhaeuser)
Official URL:
Copyright Information:© 2009 Springer-Birkhaeuser The official version is available at
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17061
Deposited On:15 Jun 2012 10:57 by Claus Pahl. Last Modified 23 Jan 2017 13:08

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