Application Traffic Classification in Hadoop Distributed Computing Environment

被引:0
|
作者
Shim, Kyu-Seok [1 ]
Lee, Su-Kang [1 ]
Kim, Myung-Sup [1 ]
机构
[1] Korea Univ, Dept Comp & Informat Sci, Sejong, South Korea
基金
新加坡国家研究基金会;
关键词
Hadoop; Payload; Traffic; Distribute; Signature;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Research on parallel algorithm based on hadoop distributed computing platform
    Heilongjiang University of Technology, Jixi, China
    Int. J. Grid Distrib. Comput., 4 (163-170):
  • [22] Distributed authentication framework for Hadoop based bigdata environment
    Hena, M.
    Jeyanthi, N.
    Journal of Ambient Intelligence and Humanized Computing, 2022, 13 (09) : 4397 - 4414
  • [23] Performance Evaluation of Distributed Computing Environments with Hadoop and Spark Frameworks
    Taran, Vladyslav
    Alienin, Oleg
    Stirenko, Sergii
    Gordienko, Yuri
    Rojbi, A.
    2017 IEEE INTERNATIONAL YOUNG SCIENTISTS FORUM ON APPLIED PHYSICS AND ENGINEERING (YSF), 2017, : 80 - 83
  • [24] Source camera identification: a distributed computing approach using Hadoop
    Muhammad Faiz
    Nor Badrul Anuar
    Ainuddin Wahid Abdul Wahab
    Shahaboddin Shamshirband
    Anthony T. Chronopoulos
    Journal of Cloud Computing, 6
  • [25] Hadoop Extensions for Distributed Computing on Reconfigurable Active SSD Clusters
    Kaitoua, Abdulrahman
    Hajj, Hazem
    Saghir, Mazen A. R.
    Artail, Hassan
    Akkary, Haitham
    Awad, Mariette
    Sharafeddine, Mageda
    Mershad, Khaleel
    ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2014, 11 (02) : 191 - 216
  • [26] The JINR Distributed Computing Environment
    Korenkov, V.
    2018 INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE MODERN COMPUTER NETWORK TECHNOLOGIES (MONETEC 2018), 2018,
  • [27] The JINR distributed computing environment
    Korenkov, Vladimir
    Dolbilov, Andrei
    Mitsyn, Valeri
    Kashunin, Ivan
    Kutovskiy, Nikolay
    Podgainy, Dmitry
    Streltsova, Oksana
    Strizh, Tatiana
    Trofimov, Vladimir
    Zrelov, Peter
    23RD INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP 2018), 2019, 214
  • [28] A distributed environment for hypercube computing
    Jwo, JS
    Chang, SS
    Chen, YC
    Hsu, DF
    SECOND AIZU INTERNATIONAL SYMPOSIUM ON PARALLEL ALGORITHMS/ARCHITECTURE SYNTHESIS, PROCEEDINGS, 1997, : 256 - 263
  • [29] Galaxy distributed computing environment
    Wu, Quanyuan
    Wang, Huaimin
    Ruan Jian Xue Bao/Journal of Software, 1997, 8 (10): : 745 - 751
  • [30] Distributed computing in the workstation environment
    Mitlohner, Johann
    APL Quote Quad, 1993, 24 (01) : 164 - 169