Low variance loss event rate estimation for layered multicast protocol

In a high level of statistical multiplexing environment, the packet drop pattern of a data flow is determined by the aggregate data flow behaviour of the bottleneck link. However, an observation of loss event patterns of a layered multicast session shows oscillatory loss intervals are estimated at...

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Main Authors: Ghazali, Osman, Hassan, Suhaidi
Format: Book Section
Language:English
Published: IEEE Computer Society 2005
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/2148/1/Low_Variance_Loss_Event_Rate_Estimation_for.pdf
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author Ghazali, Osman
Hassan, Suhaidi
author_facet Ghazali, Osman
Hassan, Suhaidi
author_sort Ghazali, Osman
collection UUM
description In a high level of statistical multiplexing environment, the packet drop pattern of a data flow is determined by the aggregate data flow behaviour of the bottleneck link. However, an observation of loss event patterns of a layered multicast session shows oscillatory loss intervals are estimated at receivers. Under this condition, the current loss event rate estimation technique of layered multicast protocols estimates oscillatory loss event rates. Moreover, the protocols inability to synchronise packet sequence number across multicast layers exaggerates this problem. To address this problem, we propose Two-step loss interval filtering technique that discards the unrepresentative loss interval samples. The proposed loss interval filtering technique reduces the variance of estimated loss event rates and results in stable protocol behaviour.
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spelling uum-21482011-02-20T01:11:21Z https://repo.uum.edu.my/id/eprint/2148/ Low variance loss event rate estimation for layered multicast protocol Ghazali, Osman Hassan, Suhaidi TK Electrical engineering. Electronics Nuclear engineering In a high level of statistical multiplexing environment, the packet drop pattern of a data flow is determined by the aggregate data flow behaviour of the bottleneck link. However, an observation of loss event patterns of a layered multicast session shows oscillatory loss intervals are estimated at receivers. Under this condition, the current loss event rate estimation technique of layered multicast protocols estimates oscillatory loss event rates. Moreover, the protocols inability to synchronise packet sequence number across multicast layers exaggerates this problem. To address this problem, we propose Two-step loss interval filtering technique that discards the unrepresentative loss interval samples. The proposed loss interval filtering technique reduces the variance of estimated loss event rates and results in stable protocol behaviour. IEEE Computer Society 2005 Book Section PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/2148/1/Low_Variance_Loss_Event_Rate_Estimation_for.pdf Ghazali, Osman and Hassan, Suhaidi (2005) Low variance loss event rate estimation for layered multicast protocol. In: Asia-Pacific Conference on Communications 2005, 5th October 2005, Perth, WA. IEEE Computer Society, pp. 1048-1052. ISBN 0-7803-9132-2 http://ieeexplore.ieee.org/
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ghazali, Osman
Hassan, Suhaidi
Low variance loss event rate estimation for layered multicast protocol
title Low variance loss event rate estimation for layered multicast protocol
title_full Low variance loss event rate estimation for layered multicast protocol
title_fullStr Low variance loss event rate estimation for layered multicast protocol
title_full_unstemmed Low variance loss event rate estimation for layered multicast protocol
title_short Low variance loss event rate estimation for layered multicast protocol
title_sort low variance loss event rate estimation for layered multicast protocol
topic TK Electrical engineering. Electronics Nuclear engineering
url https://repo.uum.edu.my/id/eprint/2148/1/Low_Variance_Loss_Event_Rate_Estimation_for.pdf
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AT hassansuhaidi lowvariancelosseventrateestimationforlayeredmulticastprotocol