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
Medir a dinâmica do tráfego em intervalos de alguns segundos é importante no gerenciamento do desempenho da rede. Se for medida a distribuição do volume médio de tráfego durante alguns segundos, um administrador pode gerenciar a qualidade das redes usando o percentil α da distribuição. Propomos um método para estimar a distribuição do volume de tráfego durante intervalos curtos, como alguns segundos, usando apenas informações de tráfego da base de informações de gerenciamento (MIB) de roteadores ou switches. Este método de estimativa é baseado nas características de tráfego observadas em medições de tráfego em redes reais. Impõe pouca carga adicional em roteadores ou switches e o tempo de cálculo necessário para estimar a distribuição também é curto. Também são fornecidos exemplos numéricos usando dados de tráfego reais.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
Takuya ASAKA, "Method of Estimating Short-Interval Traffic Distributions Using MIB" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 5, pp. 1038-1041, May 2002, doi: .
Abstract: Measuring traffic dynamics during intervals of a few seconds is important in the management of network performance. If the distribution of average traffic volume during a few seconds is measured, an administrator can manage the quality of the networks using the α percentile of the distribution. We propose a method of estimating the distribution of traffic volume during short intervals, such as a few seconds, by using only traffic information from the management information base (MIB) of routers or switches. This estimation method is based on traffic characteristics that are observed in traffic measurements in actual networks. It imposes little additional load on routers or switches and the computation time required to estimate the distribution is also short. Numerical examples using actual traffic data are also given.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_5_1038/_p
Copiar
@ARTICLE{e85-b_5_1038,
author={Takuya ASAKA, },
journal={IEICE TRANSACTIONS on Communications},
title={Method of Estimating Short-Interval Traffic Distributions Using MIB},
year={2002},
volume={E85-B},
number={5},
pages={1038-1041},
abstract={Measuring traffic dynamics during intervals of a few seconds is important in the management of network performance. If the distribution of average traffic volume during a few seconds is measured, an administrator can manage the quality of the networks using the α percentile of the distribution. We propose a method of estimating the distribution of traffic volume during short intervals, such as a few seconds, by using only traffic information from the management information base (MIB) of routers or switches. This estimation method is based on traffic characteristics that are observed in traffic measurements in actual networks. It imposes little additional load on routers or switches and the computation time required to estimate the distribution is also short. Numerical examples using actual traffic data are also given.},
keywords={},
doi={},
ISSN={},
month={May},}
Copiar
TY - JOUR
TI - Method of Estimating Short-Interval Traffic Distributions Using MIB
T2 - IEICE TRANSACTIONS on Communications
SP - 1038
EP - 1041
AU - Takuya ASAKA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E85-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2002
AB - Measuring traffic dynamics during intervals of a few seconds is important in the management of network performance. If the distribution of average traffic volume during a few seconds is measured, an administrator can manage the quality of the networks using the α percentile of the distribution. We propose a method of estimating the distribution of traffic volume during short intervals, such as a few seconds, by using only traffic information from the management information base (MIB) of routers or switches. This estimation method is based on traffic characteristics that are observed in traffic measurements in actual networks. It imposes little additional load on routers or switches and the computation time required to estimate the distribution is also short. Numerical examples using actual traffic data are also given.
ER -