• DocumentCode
    1595174
  • Title

    Evaluating the Auto Scaling Performance of Flexiscale and Amazon EC2 Clouds

  • Author

    Ferraris, F.L. ; Franceschelli, D. ; Gioiosa, M.P. ; Lucia, D. ; Ardagna, D. ; Di Nitto, Elisabetta ; Sharif, T.

  • Author_Institution
    Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
  • fYear
    2012
  • Firstpage
    423
  • Lastpage
    429
  • Abstract
    Nowadays cloud computing is becoming one of the most used technological solution to achieve scalability and reduce costs. Scalability is a key point for the success of any business involving the Web and providing services to end-user requests that may vary drastically from one time to another. Sizing a system to provide performance guarantees under peak traffic can be cost prohibitive, the main advantage of cloud computing lays in the opportunity to allocate resources on-demand on a pay per use basis. In this paper we extend Flexi scale public cloud with auto scaling mechanisms and compare these mechanisms with those offered by Amazon. The analysis aims at identifying useful patterns for the execution of Web applications in the cloud and at underlining the critical factors that affect the performance of the two providers. We performed a large set of experiments that demonstrated the importance of tuning correctly the auto scaling parameters.
  • Keywords
    Web services; cloud computing; pattern recognition; performance evaluation; resource allocation; telecommunication traffic; Amazon EC2 clouds; Web application execution; Web involved business; auto scaling mechanisms; auto scaling parameters; auto scaling performance evaluation; cloud computing; end-user requests; flexiscale public cloud; on-demand resource allocation; pay per use basis; peak traffic; useful pattern identification; Availability; Cloud computing; Load management; Measurement; Monitoring; Scalability; Servers; Cloud computing; auto scaling; scalability; virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2012 14th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4673-5026-6
  • Type

    conf

  • DOI
    10.1109/SYNASC.2012.58
  • Filename
    6481061