• DocumentCode
    3745718
  • Title

    A Survey on MapReduce Scheduling in Cloud Computing

  • Author

    Li Liu;Yingqi Zhai

  • Author_Institution
    Sch. of Autom. &
  • fYear
    2015
  • Firstpage
    1710
  • Lastpage
    1715
  • Abstract
    A large-scale data processing is increasingly leveraging Map Reduce frameworks on Cloud computing platform. We aimed to study various job schedulers improved in Map Reduce, and identify research directions in this area. In this paper, the related techniques of Map Reduce and Hodoop are described briefly. Then a variety of Map Reduce schedulers are reviewed and classified, also the features of these schedulers are expressed.
  • Keywords
    "Cloud computing","Real-time systems","Job shop scheduling","Processor scheduling","Computational modeling","Data processing","File systems"
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
  • Type

    conf

  • DOI
    10.1109/IMCCC.2015.363
  • Filename
    7406144
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3745718