A Generative Framework for Service Process Composition

  • Authors:
  • Rajesh Thiagarajan;Wolfgang Mayer;Markus Stumptner

  • Affiliations:
  • Advanced Computing Research Centre, University of South Australia,;Advanced Computing Research Centre, University of South Australia,;Advanced Computing Research Centre, University of South Australia,

  • Venue:
  • ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
  • Year:
  • 2009

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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.