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Policy-Based Service Composition and Recommendation

Policy-Based Service Composition and Recommendation

Rolv Bræk, Humberto Nicolás Castejón, Hien Nam Le, Judith E. Y. Rossebø
Copyright: © 2011 |Pages: 20
ISBN13: 9781615208197|ISBN10: 1615208194|ISBN13 Softcover: 9781616923594|EISBN13: 9781615208203
DOI: 10.4018/978-1-61520-819-7.ch001
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MLA

Bræk, Rolv, et al. "Policy-Based Service Composition and Recommendation." Service Intelligence and Service Science: Evolutionary Technologies and Challenges, edited by Ho-fung Leung, et al., IGI Global, 2011, pp. 1-20. https://doi.org/10.4018/978-1-61520-819-7.ch001

APA

Bræk, R., Castejón, H. N., Le, H. N., & Rossebø, J. E. (2011). Policy-Based Service Composition and Recommendation. In H. Leung, D. Chiu, & P. Hung (Eds.), Service Intelligence and Service Science: Evolutionary Technologies and Challenges (pp. 1-20). IGI Global. https://doi.org/10.4018/978-1-61520-819-7.ch001

Chicago

Bræk, Rolv, et al. "Policy-Based Service Composition and Recommendation." In Service Intelligence and Service Science: Evolutionary Technologies and Challenges, edited by Ho-fung Leung, Dickson K.W. Chiu, and Patrick C.K. Hung, 1-20. Hershey, PA: IGI Global, 2011. https://doi.org/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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