Towards a better understanding and analysis of controlled delay (CoDel) algorithm by using fluid modelling

In this study, a modified fluid model is proposed to understand the design of controlled delay (CoDel) algorithm for active queue management (AQM) and analyse its sensitivity to parameter settings. CoDel significantly differs from other AQM algorithms because it operates at the head of the queue and...

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Main Authors: Sachin D. Patil, Mohit P. Tahiliani
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:IET Networks
Subjects:
Online Access:https://doi.org/10.1049/iet-net.2018.5112
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spelling doaj-2c888536cf5247cdb286d161300678022021-08-26T05:35:40ZengWileyIET Networks2047-49542047-49622019-01-0181596610.1049/iet-net.2018.5112Towards a better understanding and analysis of controlled delay (CoDel) algorithm by using fluid modellingSachin D. Patil0Mohit P. Tahiliani1Wireless Information Networking Group (WiNG)Department of Computer Science and EngineeringNational Institute of Technology KarnatakaSurathkalMangalore575025IndiaWireless Information Networking Group (WiNG)Department of Computer Science and EngineeringNational Institute of Technology KarnatakaSurathkalMangalore575025IndiaIn this study, a modified fluid model is proposed to understand the design of controlled delay (CoDel) algorithm for active queue management (AQM) and analyse its sensitivity to parameter settings. CoDel significantly differs from other AQM algorithms because it operates at the head of the queue and adopts a deterministic packet drop strategy, unlike other algorithms that operate at the tail and adopt a probabilistic packet drop strategy. The correctness of the proposed fluid model is verified by comparing its results with those obtained from ns ‐2. Subsequently, using the model developed in this study, the authors analyse the performance of CoDel algorithm by changing its internal parameters and modifying its control law. They highlight the role of the internal parameters and control law on the ability of the CoDel algorithm to control queue delay. Their analysis shows that the CoDel algorithm is sensitive to its parameter settings and that its control law requires minor modifications to gain a better control over the queue delay.https://doi.org/10.1049/iet-net.2018.5112CoDel algorithmparameter settingscontrol lawcontrolled delay algorithmfluid modellingmodified fluid model
collection DOAJ
language English
format Article
sources DOAJ
author Sachin D. Patil
Mohit P. Tahiliani
spellingShingle Sachin D. Patil
Mohit P. Tahiliani
Towards a better understanding and analysis of controlled delay (CoDel) algorithm by using fluid modelling
IET Networks
CoDel algorithm
parameter settings
control law
controlled delay algorithm
fluid modelling
modified fluid model
author_facet Sachin D. Patil
Mohit P. Tahiliani
author_sort Sachin D. Patil
title Towards a better understanding and analysis of controlled delay (CoDel) algorithm by using fluid modelling
title_short Towards a better understanding and analysis of controlled delay (CoDel) algorithm by using fluid modelling
title_full Towards a better understanding and analysis of controlled delay (CoDel) algorithm by using fluid modelling
title_fullStr Towards a better understanding and analysis of controlled delay (CoDel) algorithm by using fluid modelling
title_full_unstemmed Towards a better understanding and analysis of controlled delay (CoDel) algorithm by using fluid modelling
title_sort towards a better understanding and analysis of controlled delay (codel) algorithm by using fluid modelling
publisher Wiley
series IET Networks
issn 2047-4954
2047-4962
publishDate 2019-01-01
description In this study, a modified fluid model is proposed to understand the design of controlled delay (CoDel) algorithm for active queue management (AQM) and analyse its sensitivity to parameter settings. CoDel significantly differs from other AQM algorithms because it operates at the head of the queue and adopts a deterministic packet drop strategy, unlike other algorithms that operate at the tail and adopt a probabilistic packet drop strategy. The correctness of the proposed fluid model is verified by comparing its results with those obtained from ns ‐2. Subsequently, using the model developed in this study, the authors analyse the performance of CoDel algorithm by changing its internal parameters and modifying its control law. They highlight the role of the internal parameters and control law on the ability of the CoDel algorithm to control queue delay. Their analysis shows that the CoDel algorithm is sensitive to its parameter settings and that its control law requires minor modifications to gain a better control over the queue delay.
topic CoDel algorithm
parameter settings
control law
controlled delay algorithm
fluid modelling
modified fluid model
url https://doi.org/10.1049/iet-net.2018.5112
work_keys_str_mv AT sachindpatil towardsabetterunderstandingandanalysisofcontrolleddelaycodelalgorithmbyusingfluidmodelling
AT mohitptahiliani towardsabetterunderstandingandanalysisofcontrolleddelaycodelalgorithmbyusingfluidmodelling
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