• DocumentCode
    3144875
  • Title

    An Empirical Performance Metrics Measurement and Analysis of Software Platforms for Implementation of Web Services

  • Author

    Velmurugan, K. ; Mohamed, M. A Maluk

  • Author_Institution
    Dept. of CSE, Anna Univ., Trichy, India
  • fYear
    2009
  • fDate
    1-3 June 2009
  • Firstpage
    914
  • Lastpage
    920
  • Abstract
    Web services play a vital role in the paradigms of distributed computing and grid computing. Web services can be implemented in different platforms, but the most commonly used platforms are .NET and J2EE as they provide a wide variety of tools for creation and integration of Web services to any existing business application. The selection of appropriate platform for implementation is purely based on performance offered by the particular platform. This paper focuses on analyzing the performance of a generic model composed of three tiers for implementing and consuming Web services. This generic model is implemented with four different combinations of .NET and J2EE in different tiers. The analysis of performance is carried out with a novel set of four performance metrics proposed and the metrics are based on time spent for actual response and network traffic involved between the different tiers. The performance metrics measurement is observed on the model to study performance of platforms deployed for implementation of Web services.
  • Keywords
    Java; Web services; grid computing; network operating systems; software metrics; .NET; J2EE; Web service; distributed computing; grid computing; network traffic; performance metrics measurement; software platform; Application software; Distributed computing; Electronic mail; Information analysis; Information science; Performance analysis; Simple object access protocol; Software measurement; Software performance; Web services; performance metrics; web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3641-5
  • Type

    conf

  • DOI
    10.1109/ICIS.2009.194
  • Filename
    5223155