A packet transmission delay is an important quality characteristic for various applications including real-time and data applications. In particular, it is necessary to investigate not only a whole distribution of the packet transmission delay, but also the tail part of the distribution, in order to detect the packet loss. In this paper, we analyze the characteristics of the tail part of packet delay distributions by statistical analytic approach. Our analytic results show that the Pareto distribution is most appropriate in 95-99.9% region of the cumulative distribution of packet transmission delays. Based on our statistical analysis, we next propose an adaptive playout control algorithm, which is suitable to real-time applications. Numerical examples show that our algorithm provides the stable packet loss ratio independently on traffic fluctuations.
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Kouhei FUJIMOTO, Shingo ATA, Masayuki MURATA, "Statistical Analysis of Packet Delays in the Internet and Its Application to Playout Control for Streaming Applications" in IEICE TRANSACTIONS on Communications,
vol. E84-B, no. 6, pp. 1504-1512, June 2001, doi: .
Abstract: A packet transmission delay is an important quality characteristic for various applications including real-time and data applications. In particular, it is necessary to investigate not only a whole distribution of the packet transmission delay, but also the tail part of the distribution, in order to detect the packet loss. In this paper, we analyze the characteristics of the tail part of packet delay distributions by statistical analytic approach. Our analytic results show that the Pareto distribution is most appropriate in 95-99.9% region of the cumulative distribution of packet transmission delays. Based on our statistical analysis, we next propose an adaptive playout control algorithm, which is suitable to real-time applications. Numerical examples show that our algorithm provides the stable packet loss ratio independently on traffic fluctuations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e84-b_6_1504/_p
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@ARTICLE{e84-b_6_1504,
author={Kouhei FUJIMOTO, Shingo ATA, Masayuki MURATA, },
journal={IEICE TRANSACTIONS on Communications},
title={Statistical Analysis of Packet Delays in the Internet and Its Application to Playout Control for Streaming Applications},
year={2001},
volume={E84-B},
number={6},
pages={1504-1512},
abstract={A packet transmission delay is an important quality characteristic for various applications including real-time and data applications. In particular, it is necessary to investigate not only a whole distribution of the packet transmission delay, but also the tail part of the distribution, in order to detect the packet loss. In this paper, we analyze the characteristics of the tail part of packet delay distributions by statistical analytic approach. Our analytic results show that the Pareto distribution is most appropriate in 95-99.9% region of the cumulative distribution of packet transmission delays. Based on our statistical analysis, we next propose an adaptive playout control algorithm, which is suitable to real-time applications. Numerical examples show that our algorithm provides the stable packet loss ratio independently on traffic fluctuations.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - Statistical Analysis of Packet Delays in the Internet and Its Application to Playout Control for Streaming Applications
T2 - IEICE TRANSACTIONS on Communications
SP - 1504
EP - 1512
AU - Kouhei FUJIMOTO
AU - Shingo ATA
AU - Masayuki MURATA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E84-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2001
AB - A packet transmission delay is an important quality characteristic for various applications including real-time and data applications. In particular, it is necessary to investigate not only a whole distribution of the packet transmission delay, but also the tail part of the distribution, in order to detect the packet loss. In this paper, we analyze the characteristics of the tail part of packet delay distributions by statistical analytic approach. Our analytic results show that the Pareto distribution is most appropriate in 95-99.9% region of the cumulative distribution of packet transmission delays. Based on our statistical analysis, we next propose an adaptive playout control algorithm, which is suitable to real-time applications. Numerical examples show that our algorithm provides the stable packet loss ratio independently on traffic fluctuations.
ER -