• DocumentCode
    2264082
  • Title

    Estimating the number of active flows from sampled packets

  • Author

    Cheng, Guang

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
  • fYear
    2012
  • fDate
    16-20 April 2012
  • Firstpage
    675
  • Lastpage
    678
  • Abstract
    A flow is active during a measurement period if it sends at least one packet. It is essential to control resource consumption in network monitoring by traffic sampling, so most high-end routers provide sampling network traffic function. The number of original flow is an important metrics to many network applications such as congestion control and network security. In this paper, we present a EUF algorithm that can accurately infer the number of original flow from the sampled packet traffic. Using the EUF algorithm, the number of unsampled flows can be estimated by an iteration method based on random sampling, and then the number of original flows can be precisely estimated according to both the number of the sampled flows and the unsampled flow. The EUF algorithm is also compared with the EM algorithm using multiple traffic traces collected from a Tier-1 ISP backbone networks. The result shows that the EUF algorithm is superior to EM and can provide highly accurate estimation on the number of the original flow.
  • Keywords
    computer network performance evaluation; iterative methods; random processes; resource allocation; sampling methods; telecommunication congestion control; telecommunication network routing; telecommunication traffic; EUF algorithm; Tier-1 ISP backbone networks; active flows; congestion control; high-end routers; iteration method; network applications; network monitoring; network security; random sampling; resource consumption; sampled packet traffic; sampling network traffic function; unsampled flow; Algorithm design and analysis; Computational complexity; Educational institutions; Estimation; IP networks; Intrusion detection; Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (NOMS), 2012 IEEE
  • Conference_Location
    Maui, HI
  • ISSN
    1542-1201
  • Print_ISBN
    978-1-4673-0267-8
  • Electronic_ISBN
    1542-1201
  • Type

    conf

  • DOI
    10.1109/NOMS.2012.6211984
  • Filename
    6211984