• DocumentCode
    146503
  • Title

    A novel high adaptive fault tolerance model in real time cloud computing

  • Author

    Kumar, Pranaw ; Raj, Gaurav ; Rai, A.K.

  • Author_Institution
    Comput. Sci. & Eng. Dept., Nat. Inst. of Technol., Rourkela, India
  • fYear
    2014
  • fDate
    25-26 Sept. 2014
  • Firstpage
    138
  • Lastpage
    143
  • Abstract
    Now-a-days, cloud computing is being used in a variety of fields, whether it is storage, computation, education etc. It has emerged from a larger number of technologies like utility computing, grid computing, cluster computing etc. It offers a number of advantages like on-demand access, resource pool, device independence etc. Also, it suffers from various cons like security, workflow management, fault tolerance. Here, a novel model (HAFTRC) has been proposed, which is providing high adaptive fault tolerance in real time cloud computing. The model is based on computing the reliabilities of the virtual machines on the basis of the cloudlets, mips, ram and bandwidth etc. Whosoever virtual machine has the highest reliability is chosen as the winning virtual machine. If at the end, there are two virtual machines, whose reliabilities comes out to be same, then the winning machine is chosen base on the priority that is assigned to them.
  • Keywords
    cloud computing; fault tolerant computing; real-time systems; virtual machines; HAFTRC model; bandwidth; cloudlets; high adaptive fault tolerance model; mips; ram; real time cloud computing; virtual machines; winning machine; Adaptation models; Computational modeling; Elasticity; Fault tolerance; Fault tolerant systems; Virtual machining; Reliability; fault tolerance; priority scheduling; timeliness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-4237-4
  • Type

    conf

  • DOI
    10.1109/CONFLUENCE.2014.6949285
  • Filename
    6949285