• DocumentCode
    1781173
  • Title

    Application traffic classification in Hadoop distributed computing environment

  • Author

    Kyu-Seok Shim ; Su-Kang Lee ; Myung-Sup Kim

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Korea Univ., Sejong, South Korea
  • fYear
    2014
  • fDate
    17-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Today, network traffic has increased because of the appearance of various applications and services. However, methods for network traffic analysis are not developed to catch up the trend of increasing usage of the network. Most methods for network traffic analysis are operated on a single server environment, which results in the limits about memory, processing speed, storage capacity. When considering the increment of network traffic, we need a method of network traffic to handle the Bigdata traffic. Hadoop system can be effectively used for analyzing Bigdata traffic. In this paper, we propose a method of application traffic classification in Hadoop distributed computing system and compare the processing time of the proposed system with a single server system to show the advantages of Hadoop.
  • Keywords
    Big Data; IP networks; parallel processing; telecommunication traffic; transport protocols; Big Data traffic analysis; Hadoop distributed computing environment; application traffic classification; memory limit; network traffic analysis; processing speed limit; processing time; storage capacity limit; Distributed databases; Internet; Payloads; Ports (Computers); Servers; Telecommunication traffic; Distribute; Hadoop; Payload; Signature; Traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (APNOMS), 2014 16th Asia-Pacific
  • Conference_Location
    Hsinchu
  • Type

    conf

  • DOI
    10.1109/APNOMS.2014.6996588
  • Filename
    6996588