QoS-Driven Service Selection and Composition Using Quantitative Constraint Automata

  • Authors:
  • Sun Meng;Farhad Arbab

  • Affiliations:
  • CWI, Science Park 123, Amsterdam, The Netherlands. E-mail: {M.Sun,F.Arbab}@cwi.nl;CWI, Science Park 123, Amsterdam, The Netherlands. E-mail: {M.Sun,F.Arbab}@cwi.nl

  • Venue:
  • Fundamenta Informaticae - Application of Concurrency to System Design
  • Year:
  • 2009

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Abstract

Assuring Quality of Service (QoS) properties is critical in Service-Oriented Application (SOA) development. In this paper, we present an approach for specifying the QoS properties of services along multiple dimensions and selecting services for their composition in a way that optimizes the QoS of the result. We apply the integration of concerns paradigm to allow combined specification of QoS and functional properties by using Quantitative Constraint Automata, which integrate QoS aspects into service-oriented application development processes, mainly for service selection and composition.