• DocumentCode
    390844
  • Title

    Aggregation of heavy-tailed on-off flows is multifractal

  • Author

    Liu, Xicheng ; Baras, John S.

  • Author_Institution
    Inst. for Syst. Res., Maryland Univ., College Park, MD, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    25-28 Nov. 2002
  • Firstpage
    578
  • Abstract
    We show that the aggregation of heavy-tailed on-off flows can exhibit multifractality in nature in addition to the well-known long-range dependency. Justifications are provided through analyzing the power density spectrum of a single on-off flow, calculating the multifractal spectrum of aggregated flows, and measuring the distributions of the increment process. Effects of the on and the off period on the multifractal behavior are examined. With a new understanding of the on-off model taking into account the TCP window-based control mechanism, possible roles of the TCP window size and the RTT in producing multifractal traffic are suggested.
  • Keywords
    fractals; packet switching; spectral analysis; telecommunication traffic; transport protocols; RTT; TCP window size; TCP window-based control mechanism; heavy-tailed on-off flows aggregation; increment process; increment process distribution; long-range dependency; multifractal spectrum; multifractal traffic; multifractals; on-off flow; on-off model; packet-switched networks; power density spectrum; Communication system traffic control; Density measurement; Educational institutions; Fluid flow measurement; Fractals; Power measurement; Size control; Testing; Traffic control; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, 2002. ICCS 2002. The 8th International Conference on
  • Print_ISBN
    0-7803-7510-6
  • Type

    conf

  • DOI
    10.1109/ICCS.2002.1182541
  • Filename
    1182541