Self-tuning price-based congestion control supporting TCP networks

Hao Wang, Zuohua Tian, Qinlong Zhang

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

3 Citations (Scopus)

Abstract

Active queue management (AQM) is an effective method acting on routers to improve the performance of end-to-end congestion control. However, most of the current AQM schemes are sensitive to network configurations as well as parameterization problems. In this paper, we propose a self-tuning congestion control scheme, named SPC. An enhanced price with proportional-integral- derivative control property is introduced into SPC to improve its capability of detecting and controlling network congestion. Then, we present a simple and effective discrete model to depict the TCP/SPC behaviors, and design an optimization rule for the key parameter of SPC to minimize the error and jitter of queue size. Simulation results in NS2 demonstrate that SPC is stable, responsive and robust in various network scenarios. It can quickly regulate the queue length to the target with small jitter, achieving satisfactory performance, such as low packet loss ratio and high link utilization.

Original languageEnglish
Title of host publication2010 Proceedings of 19th International Conference on Computer Communications and Networks, ICCCN 2010
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Print)9781424471164
DOIs
Publication statusPublished - 29 Oct 2010
Externally publishedYes
EventInternational Conference on Computer Communications and Networks (ICCCN) 2010 - Zurich, Switzerland
Duration: 2 Aug 20105 Aug 2010
Conference number: 19th
https://ieeexplore.ieee.org/xpl/conhome/5559661/proceeding (Proceedings)

Publication series

NameProceedings - International Conference on Computer Communications and Networks, ICCCN
ISSN (Print)1095-2055

Conference

ConferenceInternational Conference on Computer Communications and Networks (ICCCN) 2010
Abbreviated titleICCCN 2010
Country/TerritorySwitzerland
CityZurich
Period2/08/105/08/10
Internet address

Keywords

  • Active queue management
  • Congestion control
  • Price
  • Self-tuning

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