• DocumentCode
    123667
  • Title

    CEP4Cloud: Complex Event Processing for Self-Healing Clouds

  • Author

    Mdhaffar, Afef ; Ben Halima, Riadh ; Jmaiel, Mohamed ; Freisleben, Bernd

  • Author_Institution
    Dept. of Math. & Comput. Sci., Univ. of Marburg, Marburg, Germany
  • fYear
    2014
  • fDate
    23-25 June 2014
  • Firstpage
    62
  • Lastpage
    67
  • Abstract
    This paper presents a cross-layer self-healing approach for Cloud computing environments, based on the Complex Event Processing method. It analyzes monitored events to detect performance-related problems and performs action to fix them without human intervention. Our proposal makes use of novel analysis rules, derived from a comprehensive study of the relationships between monitored metrics across multiple Cloud layers. The results of our study are used to define and optimize the analysis rules and identify the causes of performance-related problems. The results of several experiments demonstrate the benefits of the proposed approach in terms of speeding up the analysis without affecting the quality of the diagnosis.
  • Keywords
    cloud computing; monitoring; software performance evaluation; CEP4Cloud; analysis rules; cloud computing; complex event processing; event monitoring; performance-related problem detection; self-healing clouds; Cloud computing; Computer architecture; Correlation; Degradation; Measurement; Monitoring; Cloud Computing; Complex Event Processing; Monitoring; Performance Analysis; Root Cause Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    WETICE Conference (WETICE), 2014 IEEE 23rd International
  • Conference_Location
    Parma
  • Type

    conf

  • DOI
    10.1109/WETICE.2014.56
  • Filename
    6927024