• DocumentCode
    3150472
  • Title

    SaaS performance and scalability evaluation in clouds

  • Author

    Gao, Jerry ; Pattabhiraman, Pushkala ; Bai, Xiaoying ; Tsai, W.T.

  • Author_Institution
    San Jose State Univ., San Jose, CA, USA
  • fYear
    2011
  • fDate
    12-14 Dec. 2011
  • Firstpage
    61
  • Lastpage
    71
  • Abstract
    Cloud computing not only changes today´s computing infrastructure, but also alters the way of obtaining computing resources, managing and delivering software and services. Meanwhile, cloud computing brings new issues, challenges, and needs in performance testing, evaluation and scalability measurement due to the special features of cloud computing, such as elasticity and scalability. This paper focuses on performance evaluation and scalability measurement issue for Software as a Service (SaaS) in clouds. It proposes new formal graphic models and metrics to evaluate SaaS performance and analyze system scalability in clouds. In addition, the paper reports an evaluation approach based on Amazon´s EC2 cloud technology and detailed case study results using the proposed models and metrics.
  • Keywords
    cloud computing; SaaS performance; cloud computing; cloud technology; computing infrastructure; computing resources; formal graphic models; performance evaluation; scalability evaluation; software as a service; IEEE Computer Society; Reliability; Throughput; SaaS performance evaluation and scalability measurement; cloud performance evaluation; cloud scalability measurement; scalability modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Oriented System Engineering (SOSE), 2011 IEEE 6th International Symposium on
  • Conference_Location
    Irvine, CA
  • Print_ISBN
    978-1-4673-0411-5
  • Electronic_ISBN
    978-1-4673-0410-8
  • Type

    conf

  • DOI
    10.1109/SOSE.2011.6139093
  • Filename
    6139093