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http://dx.doi.org/10.3745/KIPSTC.2003.10C.1.051

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

Jin, Sung-Ho (한국해양대학교 대학원 전자통신공학과)
Yim, Jae-Hong (한국해양대학교 전자통신공학과)
Publication Information
The KIPS Transactions:PartC / v.10C, no.1, 2003 , pp. 51-60 More about this Journal
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 rut that they weren't 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 twitch algorithm to show the efficient reaction about the burst traffic.
Keywords
ATM Switch; Self-Similar Traffic; ABR Congestion Algorithm;
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