A hysteretic model of queuing system with fuzzy logic active queue management

We consider a data transmitting system with an active queue management designed to prevent overloading, where fuzzy logic controller is used.We developed a mathematical model that takes into account the features of the data transfer system with an active queue management, which keeps the queue lengt...

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Main Authors: Vladimir Deart, Andrey Maslennikov, Yuliya Gaidamaka
Format: Article
Language:English
Published: FRUCT
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Online Access:https://www.fruct.org/publications/fruct15/files/Dea.pdf
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spelling doaj-3f4d988cfba8463b9d0d301d8988c1422020-11-25T00:05:31ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-073723615323810.1109/FRUCT.2014.6872419A hysteretic model of queuing system with fuzzy logic active queue managementVladimir Deart0Andrey Maslennikov1Yuliya Gaidamaka2Moscow Technical University of Communications and Informatics, Moscow, RussiaMoscow Technical University of Communications and Informatics, Moscow, RussiaPeoples Friendship University of Russia, Moscow, RussiaWe consider a data transmitting system with an active queue management designed to prevent overloading, where fuzzy logic controller is used.We developed a mathematical model that takes into account the features of the data transfer system with an active queue management, which keeps the queue length in the range of values close to a given reference value of the queue length. The method of hysteretic control for incoming load with two thresholds was used as a basis of the model. The mathematical model is a queuing system with a threshold control, which is designed for the analysis of the possibility of hysteresis in modeling of systems with active queue management. The model was described by a Markov process, for which the numerical solution of the equilibrium equations was obtained, steady state probabilities were calculated. The main probabilistic measures are the following: the mean value and the standard deviation of a queue length, and the probability for the queue length of being within the specified limits from the reference value. The numerical analysis in the load range, which includes a system overload, indicated the adequacy of the constructed mathematical model with hysteretic control and system with an active queue management based on fuzzy logic controller. The proposed fuzzy logic method was implemented for Linux kernel and the test results show better quality of service parameters than other tested methods.https://www.fruct.org/publications/fruct15/files/Dea.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Vladimir Deart
Andrey Maslennikov
Yuliya Gaidamaka
spellingShingle Vladimir Deart
Andrey Maslennikov
Yuliya Gaidamaka
A hysteretic model of queuing system with fuzzy logic active queue management
Proceedings of the XXth Conference of Open Innovations Association FRUCT
author_facet Vladimir Deart
Andrey Maslennikov
Yuliya Gaidamaka
author_sort Vladimir Deart
title A hysteretic model of queuing system with fuzzy logic active queue management
title_short A hysteretic model of queuing system with fuzzy logic active queue management
title_full A hysteretic model of queuing system with fuzzy logic active queue management
title_fullStr A hysteretic model of queuing system with fuzzy logic active queue management
title_full_unstemmed A hysteretic model of queuing system with fuzzy logic active queue management
title_sort hysteretic model of queuing system with fuzzy logic active queue management
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
description We consider a data transmitting system with an active queue management designed to prevent overloading, where fuzzy logic controller is used.We developed a mathematical model that takes into account the features of the data transfer system with an active queue management, which keeps the queue length in the range of values close to a given reference value of the queue length. The method of hysteretic control for incoming load with two thresholds was used as a basis of the model. The mathematical model is a queuing system with a threshold control, which is designed for the analysis of the possibility of hysteresis in modeling of systems with active queue management. The model was described by a Markov process, for which the numerical solution of the equilibrium equations was obtained, steady state probabilities were calculated. The main probabilistic measures are the following: the mean value and the standard deviation of a queue length, and the probability for the queue length of being within the specified limits from the reference value. The numerical analysis in the load range, which includes a system overload, indicated the adequacy of the constructed mathematical model with hysteretic control and system with an active queue management based on fuzzy logic controller. The proposed fuzzy logic method was implemented for Linux kernel and the test results show better quality of service parameters than other tested methods.
url https://www.fruct.org/publications/fruct15/files/Dea.pdf
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