• DocumentCode
    3745203
  • Title

    Analysing traffic flows through sampling: A comparative study

  • Author

    Jo?o Marco C. Silva;Paulo Carvalho;Solange Rito Lima

  • Author_Institution
    Centro Algoritmi, Universidade do Minho, Braga, Portugal
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    341
  • Lastpage
    346
  • Abstract
    Understanding network workload through the characterization of network flows, being essential for assisting network management tasks, can benefit largely from traffic sampling as long as an accurate snapshot of network behavior is captured. This paper is devoted to evaluate the real applicability of using sampling to support flow analysis. Considering both classical and emerging sampling techniques, a comparative performance study is carried out to assess the accuracy of estimating flow parameters through sampling. After identifying the main building blocks of sampled-based measurements, a sampling framework has been implemented to provide a versatile and fair platform for carrying out the testing and comparison process. Through an encompassing coverage of representative sampling techniques, the present study aims to provide useful insights regarding the use of sampling in traffic flow analysis.
  • Keywords
    "Systematics","Estimation","Kernel","Computer architecture","Adaptive systems","Taxonomy","Computers"
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communication (ISCC), 2015 IEEE Symposium on
  • Type

    conf

  • DOI
    10.1109/ISCC.2015.7405538
  • Filename
    7405538