• DocumentCode
    723374
  • Title

    Performance analysis of a new cloud e-Business solution

  • Author

    Kolic, Kristina ; Gusev, Marjan ; Ristov, Sasko

  • Author_Institution
    Haybrooke Assoc., Leicester, UK
  • fYear
    2015
  • fDate
    25-29 May 2015
  • Firstpage
    263
  • Lastpage
    268
  • Abstract
    In this paper we explore if the applications with scaled user demands, such as the number of HTTP transactions achieve proportionally scaled performance. In addition, we explore which configuration is most convenient and achieves the best performance as a final conclusion about performances when applying the scaling of resources or demands. The experiments are performed for an e-Business solution hosted as a SaaS application on Windows Azure. Finding an optimal cloud infrastructure is not a trivial problem, since there are a lot of possibilities to organize multiple virtual machines in a cloud. The results obtained from the experiments show that the optimal configuration is based on use of a lower number of bigger VMs. In addition to this, the number of operations has an impact on the performance proportionally.
  • Keywords
    business data processing; cloud computing; software performance evaluation; virtual machines; HTTP transactions; SaaS application; VM; Windows Azure; cloud e-business solution; demand scaling; multiple virtual machines; optimal cloud infrastructure; optimal configuration; proportionally scaled performance analysis; resource scaling; scaled user demands; Companies; Computational modeling; Databases; Software as a service; Testing; Time factors; SaaS; Windows Azure; cloud computing; e-Business solutions; jMeter; load testing; performance; scaling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th International Convention on
  • Conference_Location
    Opatija
  • Type

    conf

  • DOI
    10.1109/MIPRO.2015.7160277
  • Filename
    7160277