QBLUE: A new congestion control algorithm based on queuing theory

Xunli Fan, Jie Zhang, Lin Guan, Xingang Wang

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

4 Citations (Scopus)

Abstract

Active Queue Management (AQM) algorithm, as a typical router based congestion control strategy, has been the focus of researchers in the past few years and widely used in congestion control. There are a few drawbacks such as large queuing delay and queue jitter, which cause data retention drop and oscillation. It means that the existing AQM algorithms under high bandwidth can not meet the Quality of Service (QoS) requirements. This paper presents a new algorithm based on the traditional BLUE algorithm and M/M/1/N queuing model which is called QBLUE. Empirical simulations with various experiment data analysis have demonstrated that the prompted new algorithm can reduce the packet dropping rate, increase bandwidth utilization and stabilize the queue length.

Original languageEnglish
Title of host publicationProceedings of the 14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012
EditorsGeyong Min, Jia Hu, Lei (Chris) Liu, Laurence T. Yang, Seetharami Seelam, Laurent Lefevre
PublisherIEEE
Pages1253-1257
Number of pages5
ISBN (Print)9780769547497
DOIs
Publication statusPublished - 2012
Event14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012 - Liverpool, United Kingdom
Duration: 25 Jun 201227 Jun 2012

Conference

Conference14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012
Country/TerritoryUnited Kingdom
CityLiverpool
Period25/06/1227/06/12

Keywords

  • BLUE
  • Packet dropping rate
  • Queuing delay
  • Queuing theory

ASJC Scopus subject areas

  • Software

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