Service-oriented specifications aim at effectively supporting run-time service discovery, composition and brokering. QoS-aware dynamic service composition relies on algorithms that synthesize the target functional work plans, while also taking into account non-functional properties (QoS) in order to satisfy end users' requirements. In this paper, we propose a semantic-driven QoS-aware dynamic composition framework leveraging on an Integer Linear Programming technique (ILP). The proposed approach exploits the expressiveness of an ontology-based service profile model, representing structural and semantic properties of service descriptions. According to the ILP model, the service composition problem is expressed as a set of functional and non-functional constraints and an objective function built on top of a reference domain representing functional, structural and semantic properties of registered service profiles. We describe a proof-of-concept implementation of the proposed approach and discuss testing results.
A semantic-driven Integer Programming Approach for QoS-aware Dynamic Service Composition / F. Paganelli; T. Ambra; D. Parlanti; D. Giuli. - ELETTRONICO. - (2011), pp. 1-6. (Intervento presentato al convegno FITCE International Congress tenutosi a Palermo nel 31 August 2011 through 3 September 2011) [10.1109/FITCE.2011.6133434].
A semantic-driven Integer Programming Approach for QoS-aware Dynamic Service Composition
PAGANELLI, FEDERICA;AMBRA, TERENCE;GIULI, DINO
2011
Abstract
Service-oriented specifications aim at effectively supporting run-time service discovery, composition and brokering. QoS-aware dynamic service composition relies on algorithms that synthesize the target functional work plans, while also taking into account non-functional properties (QoS) in order to satisfy end users' requirements. In this paper, we propose a semantic-driven QoS-aware dynamic composition framework leveraging on an Integer Linear Programming technique (ILP). The proposed approach exploits the expressiveness of an ontology-based service profile model, representing structural and semantic properties of service descriptions. According to the ILP model, the service composition problem is expressed as a set of functional and non-functional constraints and an objective function built on top of a reference domain representing functional, structural and semantic properties of registered service profiles. We describe a proof-of-concept implementation of the proposed approach and discuss testing results.File | Dimensione | Formato | |
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