A generative framework for service process composition
Date
2009
Authors
Thiagarajan, R.K.
Mayer, W.E.
Stumptner, M.
Editors
Baresi, L.
Chi, C.H.
Suzuki, J.
Chi, C.H.
Suzuki, J.
Advisors
Journal Title
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Conference paper
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009 / Baresi, L., Chi, C.H., Suzuki, J. (ed./s), vol.5900 LNCS, pp.358-363
Statement of Responsibility
Conference Name
7th international joint conference, ICSOC-Servicewave 2009 (24 Nov 2009 - 27 Nov 2009 : Stockholm, Sweden)
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. © 2009 Springer-Verlag Berlin Heidelberg.
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Copyright 2009 Springer-Verlag Berlin Heidelberg