• DocumentCode
    173966
  • Title

    Evaluation of a disaster recovery solution through fault injection experiments

  • Author

    Matos, Rubens ; Andrade, Ermeson C. ; Maciel, Paulo

  • Author_Institution
    Fed. Univ. of Pernambuco, Recife, Brazil
  • fYear
    2014
  • fDate
    5-8 Oct. 2014
  • Firstpage
    2675
  • Lastpage
    2680
  • Abstract
    Disasters can strike any time, anywhere, and most usually occur with little or no warning. Many small and mid-size businesses (SMBs) are not adequately prepared to handle a major outage. A potential solution is the the use of cloud computing to enable a disaster recovery solution for SMBs, alleviating the burden of allocating resources which would be used only in a catastrophic situation. This paper describes an experiment-based approach for studying the dependability of a disaster recovery solution supported by a private cloud. We employ fault injection to verify the benefits and drawbacks of such a solution during the design and early deployment phases. Dependability measures obtained in the testbed can be used to adjust specific components of the solution, to cross-check analytical and simulation models, as well as to give foundations for the definition of service level agreements with customers.
  • Keywords
    business continuity; business data processing; cloud computing; small-to-medium enterprises; SMBs; catastrophic situation; cloud computing; cross-check analytical model; dependability measures; design phase; disaster recovery solution; early deployment phase; experiment-based approach; fault injection experiments; private cloud; resource allocation; service level agreements; simulation model; small and mid-size businesses; Availability; Cloud computing; Databases; Maintenance engineering; Monitoring; Servers; Transient analysis; Availability; Cloud Computing; Disaster Recovery; Experiments; Fault Injection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SMC.2014.6974331
  • Filename
    6974331