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Policy-Based Service Composition and Recommendation
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Author(s): Rolv Bræk (Norwegian University of Science and Technology, Norway), Humberto Nicolás Castejón (Telenor GBD&R, Norway), Hien Nam Le (Norwegian University of Science and Technology, Norway)and Judith E. Y. Rossebø (ABB Corporate Research, Norway)
Copyright: 2011
Pages: 20
Source title:
Service Intelligence and Service Science: Evolutionary Technologies and Challenges
Source Author(s)/Editor(s): Ho-fung Leung (Chinese University of Hong Kong, HK), Dickson K.W. Chiu (The University of Hong Kong, Hong Kong)and Patrick C.K. Hung (University of Ontario Institute of Technology, Canada)
DOI: 10.4018/978-1-61520-819-7.ch001
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Abstract
This chapter addresses concepts and methods to support dynamic composition of situated services. We focus mainly on service modelling and service design for execution environments that can support dynamic composition of situated services. In our approach, services are modelled using UML 2.x collaborations that are mapped to parts of a UML 2.x design model. Services are also associated with situations, that is, sets of properties that characterise the executing environment of the service. A policy-driven mechanism is proposed to enhance the service composition process. The policy model takes into account context situations and user preferences that can impact the performance and functionalities of the composed services. Within a given situation, executable services are identified and service composition policies used to determine their execution order. We demonstrate the approach using a multi-media over IP service that takes into account security requirements, monitored threat levels, user locations and preferences.
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