Performance Analysis for ABR Congestion Control Algorithm of ATM Switch using Se1f-Similar Traffic


The KIPS Transactions:PartC, Vol. 10, No. 1, pp. 51-60, Feb. 2003
10.3745/KIPSTC.2003.10.1.51,   PDF Download:

Abstract

One of the most important matters in designing network and realizing service, is to grip on the traffic characteristics. Conventional traffic prediction and analysis used the models which based on the Poisson or Markovian. Recently, experimental research on the LAN, WAN and VBR traffic properties have been pointed out that they weren큧 able to display actual real traffic specificities because the models based on the Poisson assumption had been underestimated the long range dependency of network traffic and self-similar peculiarities, it has been lately presented that the new approach method using self-similarity characteristics as similar as the real traffic models. Therefore, in this paper, we generated self-similar data traffic like real traffic as background load. On the existing ABR congestion control algorithm, we analyzed by classify into ACR, buffer utilization, cell drop rate, transmission throughput with the representative EFCI, ERICA, EPRCA and NIST switch algorithm to show the efficient reaction about the burst traffic.


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Cite this article
[IEEE Style]
S. H. Jin and J. H. Yim, "Performance Analysis for ABR Congestion Control Algorithm of ATM Switch using Se1f-Similar Traffic," The KIPS Transactions:PartC, vol. 10, no. 1, pp. 51-60, 2003. DOI: 10.3745/KIPSTC.2003.10.1.51.

[ACM Style]
Sung Ho Jin and Jae Hong Yim. 2003. Performance Analysis for ABR Congestion Control Algorithm of ATM Switch using Se1f-Similar Traffic. The KIPS Transactions:PartC, 10, 1, (2003), 51-60. DOI: 10.3745/KIPSTC.2003.10.1.51.