• DocumentCode
    717153
  • Title

    A platform for predicting real-time service-level metrics from device statistics

  • Author

    Yanggratoke, Rerngvit ; Ahmed, Jawwad ; Ardelius, John ; Flinta, Christofer ; Johnsson, Andreas ; Gillblad, Daniel ; Stadler, Rolf

  • Author_Institution
    ACCESS Linnaeus Center, KTH R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2015
  • fDate
    11-15 May 2015
  • Firstpage
    1141
  • Lastpage
    1142
  • Abstract
    Predicting performance metrics for cloud services is critical for real-time service assurance. We demonstrate a platform for estimating real-time service-level metrics. Statistical learning methods on device statistics are used to predict metrics for services running on these devices.
  • Keywords
    cloud computing; learning (artificial intelligence); performance evaluation; statistical analysis; cloud services; device statistics; performance metrics prediction; real-time service assurance; real-time service-level metrics prediction; statistical learning methods; Kernel; Load modeling; Measurement; Real-time systems; Servers; Statistical learning; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/INM.2015.7140449
  • Filename
    7140449
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=717153