• DocumentCode
    3011850
  • Title

    Performance Prediction Model for Service Oriented Applications

  • Author

    Punitha, S. ; Babu, Chitra

  • Author_Institution
    SSN Coll. of Eng., Kalavakkam
  • fYear
    2008
  • fDate
    25-27 Sept. 2008
  • Firstpage
    995
  • Lastpage
    1000
  • Abstract
    Software architecture plays a significant role in determining the quality of a software system. It exposes important system properties for consideration and analysis. Performance related properties are frequently of interest in determining the acceptability of a given software design. This paper focuses mainly on developing an architectural model for applications that use service oriented architecture (SOA). This enables predicting the performance of the application even before it is completely developed. The performance characteristics of the components and connectors are modeled using queuing network model. This approach facilitates the performance prediction of service oriented applications. Further, it also helps in identification of various bottlenecks. A prototype service oriented application has been implemented and the actual performance is measured. This is compared against the predicted performance in order to analyze the accuracy of the prediction.
  • Keywords
    queueing theory; software architecture; software quality; queuing network model; service oriented applications; service oriented architecture; software architecture; software system quality; Accuracy; Application software; Connectors; Performance analysis; Predictive models; Prototypes; Service oriented architecture; Software architecture; Software design; Software systems; Performance Measurement; Queuing Network Model; Service Oriented Architecture; Web Services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-0-7695-3352-0
  • Type

    conf

  • DOI
    10.1109/HPCC.2008.79
  • Filename
    4637815