The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
IP 패킷 트래픽은 자기 유사성을 나타내며 네트워크 성능 저하를 초래하는 것으로 보고되었습니다. 따라서 자체 유사 입력으로 큐잉 동작을 예측하려면 라우터 및 스위치의 적절한 버퍼 설계가 중요합니다. 도착 과정에 대한 2차 통계량을 기반으로 한 피팅 방법은 자기 유사 입력을 사용하는 대기열 시스템의 성능을 예측하는 데 충분하지 않다는 것이 잘 알려져 있습니다. 그러나 최근 연구에서는 유한 큐잉 시스템의 손실 확률이 Markovian 입력 모델에 의해 잘 근사될 수 있음이 밝혀졌습니다. 본 논문에서는 손실 확률에 대한 시간 규모의 영향을 연구합니다. MMPP/D/ 1 /K 시스템 MMPP 지정된 시간 척도에 대한 자기 유사 프로세스의 분산과 일치하도록 생성됩니다. 우리는 시스템 크기, 허스트 매개변수 및 시간 규모 측면에서 손실 확률을 조사합니다. 우리는 또한 결과의 손실 확률을 비교합니다 MMPP/D/ 1 /K 시뮬레이션으로. 수치 결과는 다음과 같은 손실 확률을 보여줍니다. MMPP/D/ 1 /K 시간 규모에 크게 영향을 받지 않으며 손실 확률은 결과에 잘 근접합니다. MMPP/D/ 1 /K.
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Shoji KASAHARA, "Internet Traffic Modeling: Markovian Approach to Self-Similar Traffic and Prediction of Loss Probability for Finite Queues" in IEICE TRANSACTIONS on Communications,
vol. E84-B, no. 8, pp. 2134-2141, August 2001, doi: .
Abstract: It has been reported that IP packet traffic exhibits the self-similar nature and causes the degradation of network performance. Therefore it is crucial for the appropriate buffer design of routers and switches to predict the queueing behavior with self-similar input. It is well known that the fitting methods based on the second-order statistics of counts for the arrival process are not sufficient for predicting the performance of the queueing system with self-similar input. However recent studies have revealed that the loss probability of finite queuing system can be well approximated by the Markovian input models. This paper studies the time-scale impact on the loss probability of MMPP/D/1/K system where the MMPP is generated so as to match the variance of the self-similar process over specified time-scales. We investigate the loss probability in terms of system size, Hurst parameters and time-scales. We also compare the loss probability of resulting MMPP/D/1/K with simulation. Numerical results show that the loss probability of MMPP/D/1/K are not significantly affected by time-scale and that the loss probability is well approximated with resulting MMPP/D/1/K.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e84-b_8_2134/_p
부
@ARTICLE{e84-b_8_2134,
author={Shoji KASAHARA, },
journal={IEICE TRANSACTIONS on Communications},
title={Internet Traffic Modeling: Markovian Approach to Self-Similar Traffic and Prediction of Loss Probability for Finite Queues},
year={2001},
volume={E84-B},
number={8},
pages={2134-2141},
abstract={It has been reported that IP packet traffic exhibits the self-similar nature and causes the degradation of network performance. Therefore it is crucial for the appropriate buffer design of routers and switches to predict the queueing behavior with self-similar input. It is well known that the fitting methods based on the second-order statistics of counts for the arrival process are not sufficient for predicting the performance of the queueing system with self-similar input. However recent studies have revealed that the loss probability of finite queuing system can be well approximated by the Markovian input models. This paper studies the time-scale impact on the loss probability of MMPP/D/1/K system where the MMPP is generated so as to match the variance of the self-similar process over specified time-scales. We investigate the loss probability in terms of system size, Hurst parameters and time-scales. We also compare the loss probability of resulting MMPP/D/1/K with simulation. Numerical results show that the loss probability of MMPP/D/1/K are not significantly affected by time-scale and that the loss probability is well approximated with resulting MMPP/D/1/K.},
keywords={},
doi={},
ISSN={},
month={August},}
부
TY - JOUR
TI - Internet Traffic Modeling: Markovian Approach to Self-Similar Traffic and Prediction of Loss Probability for Finite Queues
T2 - IEICE TRANSACTIONS on Communications
SP - 2134
EP - 2141
AU - Shoji KASAHARA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E84-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2001
AB - It has been reported that IP packet traffic exhibits the self-similar nature and causes the degradation of network performance. Therefore it is crucial for the appropriate buffer design of routers and switches to predict the queueing behavior with self-similar input. It is well known that the fitting methods based on the second-order statistics of counts for the arrival process are not sufficient for predicting the performance of the queueing system with self-similar input. However recent studies have revealed that the loss probability of finite queuing system can be well approximated by the Markovian input models. This paper studies the time-scale impact on the loss probability of MMPP/D/1/K system where the MMPP is generated so as to match the variance of the self-similar process over specified time-scales. We investigate the loss probability in terms of system size, Hurst parameters and time-scales. We also compare the loss probability of resulting MMPP/D/1/K with simulation. Numerical results show that the loss probability of MMPP/D/1/K are not significantly affected by time-scale and that the loss probability is well approximated with resulting MMPP/D/1/K.
ER -