• DocumentCode
    3406198
  • Title

    Deploying and researching Hadoop in virtual machines

  • Author

    Xu, Guanghui ; Xu, Feng ; Ma, Hongxu

  • Author_Institution
    Coll. of Comput. & Inf., Hohai Univ., Nanjing, China
  • fYear
    2012
  • fDate
    15-17 Aug. 2012
  • Firstpage
    395
  • Lastpage
    399
  • Abstract
    Hadoop´s emerging and the maturity of virtualization make it feasible to combine them together to process immense data set. To do research on Hadoop in virtual environment, an experimental environment is needed. This paper firstly introduces some technologies used such as CloudStack, MapReduce and Hadoop. Based on that, a method to deploy CloudStack is given. Then we discuss how to deploy Hadoop in virtual machines which can be obtained from CloudStack by some means, then an algorithm to solve the problem that all the virtual machines which are created by CloudStack using same template have a same hostname. After that we run some Hadoop programs under the virtual cluster, which shows that it is feasible to deploying Hadoop in this way. Then some methods to optimize Hadoop in virtual machines are discussed. From this paper, readers can follow it to set up their own Hadoop experimental environment and capture the current status and trend of optimizing Hadoop in virtual environment.
  • Keywords
    cloud computing; public domain software; virtual machines; virtualisation; CloudStack; Hadoop experimental environment; Hadoop programs; MapReduce; immense data set processing; virtual cluster; virtual environment; virtual machines; virtualization; Cloud computing; Java; Programming; Servers; Virtual machining; CloudStack; Hadoop; MapReduce; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics (ICAL), 2012 IEEE International Conference on
  • Conference_Location
    Zhengzhou
  • ISSN
    2161-8151
  • Print_ISBN
    978-1-4673-0362-0
  • Electronic_ISBN
    2161-8151
  • Type

    conf

  • DOI
    10.1109/ICAL.2012.6308241
  • Filename
    6308241