On-Off model applications to communication networks aggregated traffic

Article Spanish OPEN
Parra León, Andrés; Piedrahita, Elkin M; Salcedo, Octavio;
(2011)
  • Publisher: Universidad Distrital Francisco José de Caldas
  • Subject: movimiento Browniano fractal | On/Off traffic | autocorrelación | tráfico On/Off | fractal Brownian motion | Autosimilitud | traffic model | Hurst parameter | Self-similarity | modelo de tráfico | parámetro de Hurst | autocorrelation
Los modelos que permiten recrear trazas de tráfico generadas en una red de comunicaciones, pueden utilizarse en predicciones y estimaciones de tráfico a fin de optimizar el uso de los recursos de la red; uno de estos es el modelo On/Off, el cual permite describir el com... View more
  • References (21)
    21 references, page 1 of 3

    [1] [2] [3] [4] [5] [6] A. Adas, “Traf c Models in Broadband Networks,” IEEE Communications Magazine July. 1997.

    W. Willinger, “Self-Similarity in HighSpeed Packet Traf c: Analysis and Modeling of Ethernet Traf c Measurements,” Statistical Science, vol. 10, pp. 67-85, Feb.

    Meo, Quality of Service in Multiservice IP Networks. 2005.

    CA O'Flaherty, et ál, Transport Planning and Traf c Engineering. Butterworth: Elsevier, 2006.

    R. de Arce and I. Klein, Introducción a los modelos auto-regresivos con heterocedasticidad condicional (ARCH), 1998.

    Y. Jiang and Y. Liu, Stochastic Network Calculus, Springer-Verlag London Limited, 2008.

    [48] G. Iacovoni& S. Morsa, G. Iacovoni and S. Morsa, “Ef cient simulation of a queueing system fed by general On/Off inputs,” IEEE International Conference on Communications, Italy. 2005.

    [49] S. Sarvotham, R. Riedi and Baraniuk, “Network and user driven alpha-beta onoff source model for network traf c,” Ene. 2005.

    [50] I. D. Moscholios, M. D. Logothetis& G. K. Kokkinakis, “A multirate batched Poisson loss model of ON-OFF traf c sources: Call-level performance evaluation,” Computer Networks, vol. 48, no 3, pp. 335-350. Jun. 2005.

    [51] X. Yang, Designing Traf c Pro les for Bursty Internet Traf c. MIT Laboratory for Computer Science.

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