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Modeling the short-term dynamics of packet losses

Authors:

Fernando Silveira and

Edmundo de Souza e SilvaAuthors Info & Claims

ACM SIGMETRICS Performance Evaluation Review, Volume 34, Issue 3

Pages 27 - 29

https://doi.org/10.1145/1215956.1215968

Published: 01 December 2006 Publication History

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Abstract

Packet loss models play an essential role in computer networks analysis. Performance evaluation studies often abstract the loss and delay characteristics of a path or network with a single end-to-end analytical model. This model should be able to represent the characteristics of the path and accurately reproduce the impact of delay and losses on the studied protocol while keeping complexity low.

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Silveira Fde Souza e Silva E(2012)Predicting packet loss statistics with hidden Markov models for FEC controlComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2011.10.00956:2(628-641)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1016/j.comnet.2011.10.009
Yan GWang JZhang X(2011)Performance Analysis for End-to-End Channel System with Lossy Communication of Multi-Hop Wireless Networks2011 IEEE International Conference on Communications (ICC)10.1109/icc.2011.5963074(1-5)Online publication date: Jun-2011
https://doi.org/10.1109/icc.2011.5963074
Yan GWang JChen S(2011)Performance analysis for (X,S)-bottleneck cell in large-scale wireless networksInformation Processing Letters10.1016/j.ipl.2010.12.004111:6(269-277)Online publication date: 1-Feb-2011
https://dl.acm.org/doi/10.1016/j.ipl.2010.12.004
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cover image ACM SIGMETRICS Performance Evaluation Review

ACM SIGMETRICS Performance Evaluation Review Volume 34, Issue 3

December 2006

62 pages

ISSN:0163-5999

DOI:10.1145/1215956

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Association for Computing Machinery

New York, NY, United States

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Published: 01 December 2006

Published in SIGMETRICS Volume 34, Issue 3

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Silveira Fde Souza e Silva E(2012)Predicting packet loss statistics with hidden Markov models for FEC controlComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2011.10.00956:2(628-641)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1016/j.comnet.2011.10.009
Yan GWang JZhang X(2011)Performance Analysis for End-to-End Channel System with Lossy Communication of Multi-Hop Wireless Networks2011 IEEE International Conference on Communications (ICC)10.1109/icc.2011.5963074(1-5)Online publication date: Jun-2011
https://doi.org/10.1109/icc.2011.5963074
Yan GWang JChen S(2011)Performance analysis for (X,S)-bottleneck cell in large-scale wireless networksInformation Processing Letters10.1016/j.ipl.2010.12.004111:6(269-277)Online publication date: 1-Feb-2011
https://dl.acm.org/doi/10.1016/j.ipl.2010.12.004
de Souza e Silva ELegey Lde Souza e Silva E(2010)Forecasting oil price trends using wavelets and hidden Markov modelsEnergy Economics10.1016/j.eneco.2010.08.00632:6(1507-1519)Online publication date: Nov-2010
https://doi.org/10.1016/j.eneco.2010.08.006
Yan GWang JWang W(2009)An analytical model for end-to-end communication channel over PLCN based on QBDsInformation Processing Letters10.1016/j.ipl.2009.09.009109:23-24(1252-1259)Online publication date: 1-Nov-2009
https://dl.acm.org/doi/10.1016/j.ipl.2009.09.009
da Silva AVarela Mde Souza e Silva ELeão RRubino G(2008)Quality assessment of interactive voice applicationsComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2008.01.00252:6(1179-1192)Online publication date: 1-Apr-2008
https://dl.acm.org/doi/10.1016/j.comnet.2008.01.002

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Short- and Long-Term Packet Loss Behavior: Towards Speech Quality Prediction for Arbitrary Loss Distributions

Accurate hidden Markov modeling of packet losses in indoor 802.11 networks

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