• DocumentCode
    2188533
  • Title

    QoS Assessment over Multiple Attributes

  • Author

    Al-Dossari, Hmood ; Shao, Jianhua ; Preece, Alun

  • Author_Institution
    Sch. of Comput. Sci. & Inf., Cardiff Univ., Cardiff, UK
  • fYear
    2010
  • fDate
    June 29 2010-July 1 2010
  • Firstpage
    1456
  • Lastpage
    1461
  • Abstract
    In an open service oriented computing environment, multiple providers may offer functionally identical services but with varying qualities. It is desirable therefore that we are able to assess the quality of a service (QoS), so that service consumers can be given additional guidance in selecting their preferred services. Various methods have been proposed to assess QoS using the data collected from monitoring tools, but they do not deal with multiple QoS attributes adequately. Typically these methods assume that the quality of a service may be assessed by first assessing the quality level delivered by each QoS attribute individually, and then aggregating them in some way to give an overall verdict for the service. In this paper, we show that this may lead to incorrect assessment, and suggest how existing methods may be improved to deal with multiple attributes more effectively.
  • Keywords
    business data processing; data handling; quality of service; QoS multiple attributes assessment; open service oriented computing environment; quality of a service; service consumers; Accuracy; Aggregates; Aging; Databases; Logic gates; Monitoring; Quality of service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
  • Conference_Location
    Bradford
  • Print_ISBN
    978-1-4244-7547-6
  • Type

    conf

  • DOI
    10.1109/CIT.2010.260
  • Filename
    5577827