NLAR: A new approach to AQM

Xunli Fan, Feng Zheng, Lin Guan, Xingang Wang

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

4 Citations (Scopus)

Abstract

The traditional adaptive Random Early Detection (RED) algorithm allows network to achieve high throughput and low average delay. However it uses a linear dropping probability function, which causes high jitter in the core router. To overcome the drawbacks of queue jitter in the traditional adaptive RED algorithm, this paper proposes a new Non- Linear Adaptive RED (NLAR) approach based on the Active Queue Management (AQM) scheme, which provides a nonlinear adaptation to the dropping probability function of the adaptive RED. NLAR enables the gradient of the dropping probability to vary along with the deviation that is between the average queue length and the target queue length, which contributes to a more stable algorithm. Empirical simulation with various data analysis have demonstrated that the NLAR algorithm outperforms the adaptive RED algorithm in most scenarios.

Original languageEnglish
Title of host publication24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010
PublisherIEEE
Pages115-120
Number of pages6
ISBN (Print)9780769540191
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event24th IEEE International Conference on Advanced Information Networking and Applications Workshops - Perth, Australia
Duration: 20 Apr 201023 Apr 2010

Conference

Conference24th IEEE International Conference on Advanced Information Networking and Applications Workshops
Abbreviated titleWAINA 2010
Country/TerritoryAustralia
CityPerth
Period20/04/1023/04/10

Bibliographical note

This paper is not available in Pure

Keywords

  • Adaptive control
  • AQM
  • Congestion control
  • NLAR

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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