• DocumentCode
    719124
  • Title

    Big data processing tuning in the cloud

  • Author

    Sabharwal, Satwik ; Malhotra, Nishchay ; Singh, Ajay Shanker

  • Author_Institution
    Galgotias Univ., Greater Noida, India
  • fYear
    2015
  • fDate
    15-16 May 2015
  • Firstpage
    699
  • Lastpage
    703
  • Abstract
    Network Management is basically the administration and management of Big Data. The paper tells about the Big Data, the various characteristics of Big Data and the different approaches adopted for their network management. The advantages and disadvantages of open source software product, Hadoop which helps in distributed storage and distributed processing of large amount of data has been discussed here. This paper also gives description about FlowComb. FlowComb is a network management framework that helps processing of Big Data applications, such as Hadoop to achieve high utilization and low data processing times.
  • Keywords
    Big Data; cloud computing; distributed memory systems; parallel processing; public domain software; Big data processing; FlowComb; Hadoop; cloud; distributed processing; distributed storage; network management framework; open source software product; Automation; Big data; Data models; Distributed databases; Google; Streaming media; Allocaton; Big data; FlowComb; Hadoop;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication & Automation (ICCCA), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-8889-1
  • Type

    conf

  • DOI
    10.1109/CCAA.2015.7148465
  • Filename
    7148465