• DocumentCode
    145208
  • Title

    A Model for the Classification of Failures Presented in Cloud Computing in Accordance with the SLA

  • Author

    Barbar, Jamil Salem ; Lima, Geycy Dyany O. ; Nogueira, Antonio

  • Author_Institution
    Sch. of Comput. Sci., Fed. Univ. of Uberlandia, Uberlandia, Brazil
  • Volume
    1
  • fYear
    2014
  • fDate
    10-13 March 2014
  • Firstpage
    263
  • Lastpage
    267
  • Abstract
    The authors of this article present a classification model for the most frequent failures encountered in Cloud Computing systems in accordance with the Service-Level Agreement (SLA). The dependability concepts associated with these systems are introduced and the means for reaching the desired dependability are put to discussion. The article goes on to give a brief description of Cloud Computing through contemplating the existing Cloud types along with service models, which are recognized by NIST (National Institute of Standards and Technology). The intention behind such is to aid the client at the moment of subscribing to a service provider contract. In this manner the classification model can be used by the client and will permit the establishment, between the respective parties, of guarantees referent to possible failures, which are known to occur during service delivery.
  • Keywords
    cloud computing; contracts; fault tolerant computing; pattern classification; NIST; National Institute of Standards and Technology; SLA; cloud computing; cloud types; dependability concepts; failure classification model; service delivery; service level agreement; service models; service provider contract; Cloud computing; Computational modeling; Hardware; NIST; Reliability; Software as a service; Cloud Computing; Fault-Tolerance; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/CSCI.2014.52
  • Filename
    6822119