한국정보통신학회:학술대회논문집 (Proceedings of the Korean Institute of Information and Commucation Sciences Conference)
- 한국해양정보통신학회 2000년도 추계종합학술대회
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- Pages.272-277
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- 2000
데이터 트래픽 Self-Similar 특성에 관한 연구
Self-Similarity Characteristic in Data traffic
초록
본 논문에서는 Self-similar 확률과 정의 및 트래픽외 특성, 그리고 최근 논문들에서 보고된 사례에 대한 동향과 실제의 데이터 트래픽 특성에 대한 분석연구를 통하여 Self-similar 패턴에 대한 연구 결과를 제시하고자 한다.
The classical queuing analysis has been tremendously useful in doing capacity planning and performance prediction, However, in many real-world cases. it has found that the predicted results form a queuing analysis differ substantially hem the actual observed performance. Specially, in recent years, a number of studies have demonstrated that for some environments, the traffic pattern is self-similar rather than Poisson. In this paper, we study these self-similar traffic characteristics and the definition of self-similar stochastic processes. Then, we consider the examples of self-similar data traffic, which is reported from recent measurement studies. Finally, we wish you that it makes out about the characteristics of actual data traffic more easily.
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