Design of adaptive real queue control algorithm supporting TCP flows

Hao Wang, Ou Li, Chenda Liao, Zuohua Tian

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

12 Citations (Scopus)

Abstract

Active queue management (AQM) mechanism plays an important role in network congestion control. In this paper, we propose an effective AQM algorithm, named adaptive real queue control (ARQC). In particular, an explicit congestion indicator, virtual regulating time, is designed to detect network congestion. Then by analyzing the queuing system on routers, we present the guideline to calculate the dropping/marking probability. Also we provide the tuning rules for the control parameters based on the discrete model of TCP dynamics. Simulation results demonstrate that ARQC outperforms the other AQM schemes in terms of stability, responsiveness and robustness in dynamic networks. Moreover, it achieves smaller queue length jitter, less packet loss and better trade-off between delay and link utilization.

Original languageEnglish
Title of host publication2010 IEEE 35th Conference on Local Computer Networks, LCN 2010
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages300-303
Number of pages4
ISBN (Print)9781424483877
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event35th Annual IEEE Conference on Local Computer Networks, LCN 2010 - Denver, CO, United States of America
Duration: 10 Oct 201014 Oct 2010

Publication series

NameProceedings - Conference on Local Computer Networks, LCN

Conference

Conference35th Annual IEEE Conference on Local Computer Networks, LCN 2010
Country/TerritoryUnited States of America
CityDenver, CO
Period10/10/1014/10/10

Keywords

  • active queue management
  • adaptive
  • congestion control
  • discrete model
  • TCP

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