• DocumentCode
    3673547
  • Title

    Analysis of Hypoexponential Computing Services for Big Data Processing

  • Author

    Sergey Zapechnikov;Natalia Miloslavskaya;Alexander Tolstoy

  • Author_Institution
    Moscow Eng. Phys. Inst., Nat. Res. Nucl. Univ., Moscow, Russia
  • fYear
    2015
  • Firstpage
    579
  • Lastpage
    584
  • Abstract
    The paper presents two analytical models to study the performance and availability of queueing systems with the hypo exponential service time and finite queue. The analytical results obtained are verified using discrete-event simulation. A few numerical examples for varying number of service stages, service rates and arrival rates are given. The results presented in the paper can be used for analysis of MapReduce and multi-stage Big Data processing.
  • Keywords
    "Analytical models","Numerical models","Queueing analysis","Computational modeling","Servers","Big data","Steady-state"
  • Publisher
    ieee
  • Conference_Titel
    Future Internet of Things and Cloud (FiCloud), 2015 3rd International Conference on
  • Type

    conf

  • DOI
    10.1109/FiCloud.2015.57
  • Filename
    7300870
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3673547