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Performance Analysis of ABR Congestion Control Algorithm using Self-Similar Traffic
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  • Performance Analysis of ABR Congestion Control Algorithm using Self-Similar Traffic
  • Performance Analysis of ABR Congestion Control Algorithm using Self-Similar Traffic
저자명
Kim. Dong-Il,Jin. Sung-Ho
간행물명
International journal of maritime information and communication sciences
권/호정보
2004년|2권 1호|pp.15-21 (7 pages)
발행정보
한국해양정보통신학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

One of the most important issues in designing a network and realizing a service is dealing with traffic characteristics. Recent experimental research on LAN, WAN, and VBR traffic properties has highlighted that real traffic specificities can not be displayed because the current models based on the Poisson assumption under estimate the long range dependency of network traffic and self-similar peculiarities. Therefore, a new approach using self-similarity characteristics as a real traffic model was recently developed. In This paper we discusses the definition of self-similarity traffic. Moreover, real traffic was collected and we generated self-similar data traffic like real traffic to background load. On the existing ABR congestion control algorithm transmission throughput with the representative ERICA, EPRCA and NIST switch algorithm show the efficient reaction about the burst traffic.