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  1. Proceedings of the 2008 international workshop on Context enabled source and service selection, integration and adaptation (CSSSIA '08)
  2. Speeding up web service composition with volatile external information
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International Workshop on Context Enabled Source and Service Selection, Integration and Adaptation: workshop summary
A new aggregation policy for RSS services
Using context to enable semantic mediation in web service communities
Speeding up web service composition with volatile external information
Efficiently finding web services using a clustering semantic approach
Towards context-aware semantic web service discovery through conceptual situation spaces
Circular context-based semantic matching to identify web service composition
Toward a model of service interaction enabler in mobile environment
Composite process oriented service discovery in preserving business and timed relation

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Speeding up web service composition with volatile external information

Content Provider ACM Digital Library
Author Harney, John Doshi, Prashant
Abstract Existing methods for composing Web services assume that compositions are fixed. However, in practice, service environments are often volatile and parameters of participating services may change during the composition. This paper introduces a novel method for composing Web services in the presence of external volatile information. Our approach, which we call the informed-presumptive is compared to previous state-of-the-art approaches for Web service composition in volatile environments. We show empirically that the informed-presumptive strategy produces compositions in significantly less time than the other strategies with lesser backtracks.
Starting Page 1
Ending Page 7
Page Count 7
File Format PDF
ISBN 9781605581071
DOI 10.1145/1361482.1361486
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-04-22
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Web services Expiration times Volatile environments Adaptation
Content Type Text
Resource Type Article
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