• DocumentCode
    263618
  • Title

    Setup and Configuration of MapReduce in a Cloud Environment

  • Author

    Blaisse, Adam Pasqua ; Berlove, Martin ; Jie Wu

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Temple Univ., Philadelphia, PA, USA
  • fYear
    2014
  • fDate
    28-30 Oct. 2014
  • Firstpage
    773
  • Lastpage
    774
  • Abstract
    In this paper we will look at how we went about setting up our clusters. We will work on implementing Apache´s open-source software, Hadoop, onto virtual machines in our TCloud Cluster. We will also be implementing Apache´s Hadoop in our Net Cloud clusters. Both of these clusters will be running on the open-source software named Eucalyptus. We will discuss installation and configuration of the open-source Eucalyptus cloud onto our Net Cloud cluster. We will also discuss the writing of scripts for both the TCloud Cluster and the Net Cloud cluster, which will setup Hadoop in both the multi-node and single-node configurations. Finally, we will touch on the documentation that we worked on, and we will explain why we did it. Once we have finished presenting what were able to accomplish in both of the clusters available for use, we will discuss our desires for future works, with the paper´s conclusion following immediately after.
  • Keywords
    cloud computing; data handling; parallel processing; public domain software; virtual machines; Apache open-source software; Eucalyptus open-source software; Hadoop; MapReduce; Net Cloud clusters; TCloud cluster; cloud environment; virtual machines; Documentation; Educational institutions; Open source software; Servers; Topology; Virtual machining; Eucalyptus; Hadoop; MapReduce; OpenFlow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Ad Hoc and Sensor Systems (MASS), 2014 IEEE 11th International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4799-6035-4
  • Type

    conf

  • DOI
    10.1109/MASS.2014.86
  • Filename
    7035781