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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Perda e atraso ponta a ponta são métricas fundamentais na avaliação de desempenho de rede, e medições precisas dessas métricas ponta a ponta são uma das chaves para manter aplicativos sensíveis a atraso/perda (por exemplo, conferência de áudio/vídeo, IP telefonia ou telecirurgia) confortável em redes. Em nosso trabalho anterior [1], propusemos um método de monitoramento de fluxo paralelo que pode fornecer medições ativas precisas de atraso ponta a ponta. Neste método, as amostras de atraso de um fluxo alvo aumentam utilizando os resultados de observação de outros fluxos que compartilham a origem/destino com o fluxo alvo. Neste artigo, para melhorar a precisão das medições de perdas, propomos um método de medição de perdas estendendo nosso método de medição de atraso. Além disso, melhoramos o método de medição de perdas para que permita utilizar plenamente as informações de todos os fluxos, incluindo fluxos com diferentes origens e destinos. Avaliamos o método proposto através de análises teóricas e de simulação. As avaliações mostram que a precisão do método proposto é limitada por limites teóricos superiores/inferiores, e confirma-se que reduz o erro das estimativas da taxa de perda em 57.5%, em média.
Kohei WATABE
Nagaoka University of Technology
Norinosuke MURAI
Nagaoka University of Technology
Shintaro HIRAKAWA
Nagaoka University of Technology
Kenji NAKAGAWA
Nagaoka University of Technology
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Kohei WATABE, Norinosuke MURAI, Shintaro HIRAKAWA, Kenji NAKAGAWA, "Accurate Parallel Flow Monitoring for Loss Measurements" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 12, pp. 1530-1539, December 2022, doi: 10.1587/transcom.2021EBP3160.
Abstract: End-to-end loss and delay are both fundamental metrics in network performance evaluation, and accurate measurements for these end-to-end metrics are one of the keys to keeping delay/loss-sensitive applications (e.g., audio/video conferencing, IP telephony, or telesurgery) comfortable on networks. In our previous work [1], we proposed a parallel flow monitoring method that can provide accurate active measurements of end-to-end delay. In this method, delay samples of a target flow increase by utilizing the observation results of other flows sharing the source/destination with the target flow. In this paper, to improve accuracy of loss measurements, we propose a loss measurement method by extending our delay measurement method. Additionally, we improve the loss measurement method so that it enables to fully utilize information of all flows including flows with different source and destination. We evaluate the proposed method through theoretical and simulation analyses. The evaluations show that the accuracy of the proposed method is bounded by theoretical upper/lower bounds, and it is confirmed that it reduces the error of loss rate estimations by 57.5% on average.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3160/_p
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@ARTICLE{e105-b_12_1530,
author={Kohei WATABE, Norinosuke MURAI, Shintaro HIRAKAWA, Kenji NAKAGAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Accurate Parallel Flow Monitoring for Loss Measurements},
year={2022},
volume={E105-B},
number={12},
pages={1530-1539},
abstract={End-to-end loss and delay are both fundamental metrics in network performance evaluation, and accurate measurements for these end-to-end metrics are one of the keys to keeping delay/loss-sensitive applications (e.g., audio/video conferencing, IP telephony, or telesurgery) comfortable on networks. In our previous work [1], we proposed a parallel flow monitoring method that can provide accurate active measurements of end-to-end delay. In this method, delay samples of a target flow increase by utilizing the observation results of other flows sharing the source/destination with the target flow. In this paper, to improve accuracy of loss measurements, we propose a loss measurement method by extending our delay measurement method. Additionally, we improve the loss measurement method so that it enables to fully utilize information of all flows including flows with different source and destination. We evaluate the proposed method through theoretical and simulation analyses. The evaluations show that the accuracy of the proposed method is bounded by theoretical upper/lower bounds, and it is confirmed that it reduces the error of loss rate estimations by 57.5% on average.},
keywords={},
doi={10.1587/transcom.2021EBP3160},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Accurate Parallel Flow Monitoring for Loss Measurements
T2 - IEICE TRANSACTIONS on Communications
SP - 1530
EP - 1539
AU - Kohei WATABE
AU - Norinosuke MURAI
AU - Shintaro HIRAKAWA
AU - Kenji NAKAGAWA
PY - 2022
DO - 10.1587/transcom.2021EBP3160
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2022
AB - End-to-end loss and delay are both fundamental metrics in network performance evaluation, and accurate measurements for these end-to-end metrics are one of the keys to keeping delay/loss-sensitive applications (e.g., audio/video conferencing, IP telephony, or telesurgery) comfortable on networks. In our previous work [1], we proposed a parallel flow monitoring method that can provide accurate active measurements of end-to-end delay. In this method, delay samples of a target flow increase by utilizing the observation results of other flows sharing the source/destination with the target flow. In this paper, to improve accuracy of loss measurements, we propose a loss measurement method by extending our delay measurement method. Additionally, we improve the loss measurement method so that it enables to fully utilize information of all flows including flows with different source and destination. We evaluate the proposed method through theoretical and simulation analyses. The evaluations show that the accuracy of the proposed method is bounded by theoretical upper/lower bounds, and it is confirmed that it reduces the error of loss rate estimations by 57.5% on average.
ER -