• DocumentCode
    2287204
  • Title

    A framework for failure impact analysis and recovery with respect to service level agreements

  • Author

    Hanemann, Andreas ; Schmitz, David ; Sailer, Martin

  • Author_Institution
    Munich Network Manage. Team, Leibniz Supercomput. Center, Munich, Germany
  • Volume
    2
  • fYear
    2005
  • fDate
    11-15 July 2005
  • Firstpage
    49
  • Abstract
    In today´s IT service market customers urge providers to grant guarantees for quality of service (QoS) which are laid down in service level agreements (SLAs). To satisfy customers and to avoid penalties, service providers have to ensure that the agreed SLAs are met. Therefore, it is necessary to be able to effectively deal with resource failures which could endanger the SLAs by affecting the provided services. The effort for recovering from failures should be selected corresponding to the expected SLA violation costs. In this paper we present a framework to automatically determine the impact of resource failures with respect to services and service level agreements. We achieve this by monitoring the service quality from inside and outside the service provider and also by incorporating information about the current and expected future service usage. The expected costs of the resource failures are assessed to select an appropriate recovery alternative. Besides this short term perspective the impact analysis can also be employed to identify critical resources and to improve the service provisioning.
  • Keywords
    DP industry; customer satisfaction; failure analysis; quality of service; system recovery; IT service market; QoS; SLA violation; failure impact analysis; failure impact recovery; quality of service; resource failure; service level agreements; service provision; service quality monitoring; Condition monitoring; Contracts; Costs; Decision making; Failure analysis; Pricing; Quality management; Quality of service; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7695-2408-7
  • Type

    conf

  • DOI
    10.1109/SCC.2005.10
  • Filename
    1524423