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
패킷 전송 지연은 실시간 및 데이터 애플리케이션을 포함한 다양한 애플리케이션에 있어 중요한 품질 특성입니다. 특히, 패킷 손실을 검출하기 위해서는 패킷 전송 지연의 전체 분포뿐만 아니라 분포의 꼬리 부분까지 조사할 필요가 있다. 본 논문에서는 통계적 분석적 접근을 통해 패킷 지연 분포의 꼬리 부분의 특성을 분석한다. 분석 결과, 패킷 전송 지연 누적 분포의 95~99.9% 영역에서 파레토 분포가 가장 적합한 것으로 나타났다. 우리는 통계적 분석을 바탕으로 실시간 응용에 적합한 적응형 재생 제어 알고리즘을 제안합니다. 수치적인 예는 우리의 알고리즘이 트래픽 변동에 독립적으로 안정적인 패킷 손실률을 제공한다는 것을 보여줍니다.
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부
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
부
@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},}
부
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 -