• DocumentCode
    1582067
  • Title

    Multi-criteria Decision Making Method for Quality of Service Aggregation

  • Author

    Fakhfakh, Nabil ; Verjus, Hervé ; Pourraz, Frédéric

  • Author_Institution
    LISTIC Lab., Univ. of Savoie, Annecy-Le-Vieux, France
  • fYear
    2011
  • Firstpage
    203
  • Lastpage
    212
  • Abstract
    Services Oriented Architectures have provided flexibility and agility for service consumers to build their business processes. An important issue concerning the service orchestrations supporting business processes is the Quality of Service (QoS). Service consumers put more and more importance to the QoS of their service orchestrations to be more competitive. Therefore, they need to know how much the service orchestrations fit their QoS expectations in order to measure their satisfaction. In this context, we propose an approach to evaluate the satisfaction degree of service orchestrations according to the service consumers expectations from QoS point of view. This approach is based on Workflow patterns aggregation rules and on the application of a Multi Criteria Decision Making (MCDM) method. It helps service consumers to interpret the Quality of Service of their service orchestrations and to make a decision whenever they are no longer satisfied.
  • Keywords
    business data processing; customer satisfaction; decision making; service-oriented architecture; business process; multicriteria decision making method; quality of service aggregation; service consumers expectations; service orchestration satisfaction degree; services oriented architectures; workflow patterns aggregation rules; Availability; Context; Equations; Quality of service; Service oriented architecture; Time factors; Choquet Integral; MCDM; QoS aggregation; SOA; satisfaction degree measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference (EDOC), 2011 15th IEEE International
  • Conference_Location
    Helsinki
  • ISSN
    1541-7719
  • Print_ISBN
    978-1-4577-0362-1
  • Electronic_ISBN
    1541-7719
  • Type

    conf

  • DOI
    10.1109/EDOC.2011.10
  • Filename
    6037574