• DocumentCode
    2762993
  • Title

    Agent-Based Online Quality Measurement Approach in Cloud Computing Environment

  • Author

    Liu, Zhenyu ; Liu, Tiejiang ; Lu, Tun ; Cai, Lizhi ; Yang, Genxing

  • Author_Institution
    Sch. of Comput. Sci., Fudan Univ., Shanghai, China
  • Volume
    1
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    686
  • Lastpage
    690
  • Abstract
    This paper studies online quality measurement in cloud computing environment. The paper analyzes concentration measure evaluation method of the current software quality evaluation system. As is known to all, the existing evaluation technology uses concentrated evaluation before run-time. By testing and analyzing results, the quality is obtained. In this paper, by analyzing the features in cloud computing environment, we consider that service-oriented evaluation should be mainly based on runtime online measurement. The paper puts forward agent-based online measure infrastructure, which is evaluated by distributed assessment in service computing environment A quality model and corresponding online data collection strategy are described. In this approach, the previous quality evaluation, which is concentrated and simulating in a simulated environment, is substituted. Then, a novel measure method of quality data acquisition, which is based on distributed agent technology, is established. So, during online service operation, the obtained data can make measurement results to be accurate and credible.
  • Keywords
    Internet; data acquisition; software agents; software quality; cloud computing environment; distributed agent technology; online quality measurement approach; quality data acquisition method; service computing environment; service-oriented evaluation; software quality evaluation system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.213
  • Filename
    5615903