On the Influence of AQM on Serialization of Packet Losses

We study the influence of the active queue management mechanism based on the queue size on the serialization of packet losses, i.e., the occurrences of losses in long, consecutive series. We use a traffic model able to mimic precisely the autocorrelation function of traffic, which is known to be far...

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Main Authors: Andrzej Chydzinski, Blazej Adamczyk
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/4/2197
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author Andrzej Chydzinski
Blazej Adamczyk
author_facet Andrzej Chydzinski
Blazej Adamczyk
author_sort Andrzej Chydzinski
collection DOAJ
description We study the influence of the active queue management mechanism based on the queue size on the serialization of packet losses, i.e., the occurrences of losses in long, consecutive series. We use a traffic model able to mimic precisely the autocorrelation function of traffic, which is known to be far from zero in packet networks. The main contribution is a theorem on the burst ratio parameter, describing the serialization of losses, proven for an arbitrary function assigning drop probabilities to queue sizes. In numerical examples, we show the impact of the autocorrelation strength, drop probability function, and load of the link, on the serialization of losses.
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spelling doaj.art-5208e9095dec4c84b017e3e84edf9dec2023-11-16T23:11:40ZengMDPI AGSensors1424-82202023-02-01234219710.3390/s23042197On the Influence of AQM on Serialization of Packet LossesAndrzej Chydzinski0Blazej Adamczyk1Department of Computer Networks and Systems, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandDepartment of Computer Networks and Systems, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandWe study the influence of the active queue management mechanism based on the queue size on the serialization of packet losses, i.e., the occurrences of losses in long, consecutive series. We use a traffic model able to mimic precisely the autocorrelation function of traffic, which is known to be far from zero in packet networks. The main contribution is a theorem on the burst ratio parameter, describing the serialization of losses, proven for an arbitrary function assigning drop probabilities to queue sizes. In numerical examples, we show the impact of the autocorrelation strength, drop probability function, and load of the link, on the serialization of losses.https://www.mdpi.com/1424-8220/23/4/2197packet networksactive queue managementburst ratioserial losses
spellingShingle Andrzej Chydzinski
Blazej Adamczyk
On the Influence of AQM on Serialization of Packet Losses
Sensors
packet networks
active queue management
burst ratio
serial losses
title On the Influence of AQM on Serialization of Packet Losses
title_full On the Influence of AQM on Serialization of Packet Losses
title_fullStr On the Influence of AQM on Serialization of Packet Losses
title_full_unstemmed On the Influence of AQM on Serialization of Packet Losses
title_short On the Influence of AQM on Serialization of Packet Losses
title_sort on the influence of aqm on serialization of packet losses
topic packet networks
active queue management
burst ratio
serial losses
url https://www.mdpi.com/1424-8220/23/4/2197
work_keys_str_mv AT andrzejchydzinski ontheinfluenceofaqmonserializationofpacketlosses
AT blazejadamczyk ontheinfluenceofaqmonserializationofpacketlosses