• DocumentCode
    2861457
  • Title

    Enhance Self-managing Grids by Risk Management

  • Author

    Voss, Kerstin

  • Author_Institution
    Paderborn Univ., Paderborn
  • fYear
    2007
  • fDate
    19-25 June 2007
  • Firstpage
    27
  • Lastpage
    27
  • Abstract
    Risk management (RM) processes are used in various application fields since often possible threats should be identified, evaluated, and avoided. In the grid resource failures are common and likely threats which slow down the establishment of service level agreements (SLAs). Introducing RM into the self-managing grid is beneficial to estimate and react on such threats. The assessed probabilities for resource failures can be used as a decisive factor in different scenarios. In particular, the resource allocation profits from risk information since jobs can be mapped under consideration of their importance and the stability of available resources. Each RM process is particularly developed for one application field since the threats, the consequences, and the retaliatory actions are individual. The difference between conventional RM processes and the grid integrated one is that the Grid should be self-managing. This implies that after the configuration RM processes have to be performed totally automatical. This paper presents the Grid RM process which bases on the standard for RM processes developed from the federation of European risk management associations (FERMA).
  • Keywords
    grid computing; resource allocation; risk management; European risk management association; self-managing grid resource allocation failure; service level agreement; Business; Condition monitoring; Contracts; Decision making; Parallel processing; Quality of service; Resource management; Risk management; Stability; Standards development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Services, 2007. ICNS. Third International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-0-7695-2858-9
  • Type

    conf

  • DOI
    10.1109/ICNS.2007.61
  • Filename
    4438276