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A Generative Framework for Service Process Composition

  • Rajesh Thiagarajan
  • Wolfgang Mayer
  • Markus Stumptner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5900)

Abstract

In our prior work we showed the benefits of formulating service composition as a Generative Constraint Satisfaction Problem (GCSP), where available services and composition problems are modeled in a generic manner and are instantiated on-the-fly during the solving process, in dynamic composition scenarios. In this paper, we (1) outline the salient features of our framework, (2) present extensions to our framework in the form of process-level invariants, and (3) evaluate the effectiveness of our framework in difficult scenarios, where a number of similar and potentially unsuitable services have to be explored during composition.

Keywords

Service Composition Success Factor Composition Problem Shipping Order Supply Chain Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Rajesh Thiagarajan
    • 1
  • Wolfgang Mayer
    • 1
  • Markus Stumptner
    • 1
  1. 1.Advanced Computing Research CentreUniversity of South Australia 

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