• DocumentCode
    2875402
  • Title

    A Framework for Optimal Service Selection in Broker-Based Architectures with Multiple QoS Classes

  • Author

    Cardellini, Valeria ; Casalicchio, Emiliano ; Grassi, Vincenzo ; Mirandola, Raffaela

  • Author_Institution
    Universita di Roma "Tor Vergata", Rome
  • fYear
    2006
  • fDate
    Sept. 2006
  • Firstpage
    105
  • Lastpage
    112
  • Abstract
    Service composition is one of the most promising advantages of the service-oriented paradigm. In a service market scenario, given a functional description of a service, different providers may offer diverse service implementations that match such a functional description but differ for some QoS attributes. A key point for the construction of a suitable composition is the selection of the services that best meet the QoS requirements of the composite service users. In this paper, we consider a broker-based architecture for service composition, focusing on the service selection problem and assuming that the broker supports different QoS classes. We formulate the service selection as a constrained optimization problem, where each QoS class is modeled by suitable constraints. Differently from most of the existing approaches to service selection, in our approach the broker optimizes the overall QoS of a flow of requests rather than of a single request
  • Keywords
    Web services; optimisation; quality of service; broker-based architecture; broker-based architectures; constrained optimization; multiple QoS classes; optimal service selection; quality of service; service composition; Concrete; Constraint optimization; Context-aware services; Cost function; Delay; Proposals; Quality assessment; Quality of service; Service oriented architecture; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing Workshops, 2006. SCW '06. IEEE
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7695-2681-0
  • Type

    conf

  • DOI
    10.1109/SCW.2006.1
  • Filename
    4027024