• DocumentCode
    3477804
  • Title

    A Performance Guarantee Approach for Cloud Applications Based on Monitoring

  • Author

    Shao, Jin ; Wang, Qianxiang

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China
  • fYear
    2011
  • fDate
    18-22 July 2011
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    Cloud computing, a paradigm shift that offer computing resources in a pay-as-you-go manner, is expected to minimize service operators´ cost without sacrificing the performance of services. However, it is much harder to guarantee the performance of cloud applications due to the complex architecture of cloud, the interaction between co-deployed applications and the unpredictability of workload. Some research work has reported that existed cloud is not performing as satisfactorily as expected. How to guarantee the stable performance of cloud applications turns into a major concern of both the cloud providers and the service providers. In this paper, we present an approach to guarantee the performance of cloud applications based on a performance model. Extracted from actual runtime monitoring data using data mining techniques, the model can be leveraged to direct how to adjust the resource provision strategy under a given performance requirement. A monitoring framework is implemented for collecting runtime monitoring data on a real cloud which provides PaaS service.
  • Keywords
    cloud computing; data mining; PaaS service; cloud applications; cloud computing; cloud providers; co-deployed applications; data mining; runtime monitoring data collection; service providers; Measurement; Monitoring; Quality of service; Runtime; Servers; Time factors; Virtual machining; cloud applications; data mining; dynamic resource provision; performance model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference Workshops (COMPSACW), 2011 IEEE 35th Annual
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4577-0980-7
  • Electronic_ISBN
    978-0-7695-4459-5
  • Type

    conf

  • DOI
    10.1109/COMPSACW.2011.15
  • Filename
    6032205