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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Online Access: | https://doi.org/10.1049/iet-net.2018.5112 |
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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 |
_version_ |
1721195976201338880 |