Title: A stochastic service composition framework for business integration under uncertainty

Authors: Ying Huang, Jen-Yao Chung, Yinsheng Li, Kuo-Ming Chao

Addresses: IBM T.J. Watson Research Centre, Yorktown Heights, New York 10598, USA. ' IBM T.J. Watson Research Centre, Yorktown Heights, New York 10598, USA. ' Software School, Fudan University, Shanghai, PR China. ' School of Mathematical and Information Sciences, Coventry University, Coventry, CV1 5FB, UK

Abstract: With the advent of Service-Oriented Architecture (SOA), enterprises of different sizes are exploring SOA-based business integration solutions. However, results of using a business or IT service can be nondeterministic, i.e., one cannot predict a priori the execution outcomes of a business or IT service. In this paper, we propose a framework for service-oriented business integration under uncertainties. In this framework, we describe how to achieve better business integration results by composing a set of business and IT services using a service composition model with uncertainties. The framework further discusses how to establish and maintain a service composition model with uncertainties.

Keywords: service-oriented architectures; SOA; business integration; service composition; service uncertainties; stochastic service composition; e-business; electronic business.

DOI: 10.1504/IJEB.2006.010865

International Journal of Electronic Business, 2006 Vol.4 No.3/4, pp.247 - 264

Published online: 08 Sep 2006 *

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