• DocumentCode
    2917325
  • Title

    A Model-based Simulation Approach to Error Analysis of IT Services

  • Author

    Wang, Long ; Sahai, AKhil ; Pruyne, James

  • Author_Institution
    Center for Reliable High-Performance Comp., Univ. of Illinois at Urbana-Champaign, Urbana, IL
  • fYear
    2007
  • fDate
    May 21 2007-Yearly 25 2007
  • Firstpage
    805
  • Lastpage
    808
  • Abstract
    Utility computing environments provide on-demand IT services to customers. Such environments are dynamic in nature and continuously adapt to changes in requirements and system state. Errors are an important category of environment state changes as such environments consist of a large number of components, and hence, are subject to errors. In this paper, we design and implement a model-based simulation framework that leverages information about existing service components and their interactions, and provides concrete service behavior in presence of a variety of errors. To evaluate the framework, experiments are conducted on a virtualized blade-server based environment. Results show that the framework is effective and practical in analyzing error impacts on IT services.
  • Keywords
    digital simulation; error analysis; utility programs; IT service; concrete service behavior; error analysis; model-based simulation approach; utility computing environment; virtualized blade-server based environment; Analytical models; Computational modeling; Computer errors; Computer integrated manufacturing; Concrete; Context modeling; Engines; Environmental management; Error analysis; Unified modeling language; IT service; error; error analysis; error behavior; error model; model-based; simulation; utility computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Network Management, 2007. IM '07. 10th IFIP/IEEE International Symposium on
  • Conference_Location
    Munich
  • Print_ISBN
    1-4244-0798-2
  • Electronic_ISBN
    1-4244-0799-0
  • Type

    conf

  • DOI
    10.1109/INM.2007.374718
  • Filename
    4258609