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AQM Mechanism with Neuron Tuning Parameters

  • Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

The congestion control is one of the most important questions in modern computer network performance. This article investigates the problem of adaptive neuron based choice of the Active Queue Mechanisms parameters. We evaluate the performance of the AQM mechanism in the presence of self-similar traffic based on the automatic selection of their parameters using the adaptive neuron. We have also proposed an AQM mechanism based on non-integer order controller with neuron tuning parameters and compared it with Adaptive Neuron AQM. The numerical results are obtained using the discrete event simulation model.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - 12th Asian Conference, ACIIDS 2020, Proceedings
EditorsNgoc Thanh Nguyen, Bogdan Trawinski, Kietikul Jearanaitanakij, Suphamit Chittayasothorn, Ali Selamat
PublisherSpringer
Pages299-311
Number of pages13
ISBN (Print)9783030420574
DOIs
Publication statusPublished - 2020
Event12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020 - Phuket, Thailand
Duration: 23 Mar 202026 Mar 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12034 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020
Country/TerritoryThailand
CityPhuket
Period23/03/2026/03/20

Keywords

  • AQM
  • Congestion control
  • Neuron
  • controller

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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