• DocumentCode
    132088
  • Title

    A quality-based semantic service broker using reachability indexes

  • Author

    Yen-Ting Lee ; Ching-Seh Wu

  • Author_Institution
    Comput. Sci. & Eng., Oakland Univ., Rochester, MI, USA
  • fYear
    2014
  • fDate
    6-8 March 2014
  • Firstpage
    277
  • Lastpage
    282
  • Abstract
    Cloud computing based on the loosely coupled service-oriented architecture facilitates the process of application integration from existing software. As there is a growing demand for cloud computing techniques and applications across a wide range of domains; selecting the best from many services which provide similar functionality remains an elusive task. In this paper, we propose a quality-based semantic service broker using reachability indexes. This broker uses semantic concepts to model services in a conceptual aggregation graph. In addition, the broker also creates reachability labels for each vertex in the conceptual aggregation graph to speed up composition discovery. During the service discovery and composition, all possible solutions are found and ranked by the service consumer´s quality requirements. Even if no solution matches the quality requirements, a suggested solution from the similarity distance relaxation is provided.
  • Keywords
    cloud computing; reachability analysis; service-oriented architecture; application integration process; cloud computing techniques; composition discovery; quality based semantic service broker; reachability indexes; semantic concepts; service consumer quality requirements; service oriented architecture; Cloud computing; Indexes; Quality of service; Semantics; Service-oriented architecture; reachability index; semantic service; service composition; service discovery; service optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet of Things (WF-IoT), 2014 IEEE World Forum on
  • Conference_Location
    Seoul
  • Type

    conf

  • DOI
    10.1109/WF-IoT.2014.6803172
  • Filename
    6803172