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Time slot-based RED algorithm on self-similar flows: SFRED

  • Hui Wang*
  • , Zhen Zhou Ji
  • , Yan Dong Sun
  • , Yuan Zheng Wang
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Based on fractional Brownian motion (FBM), one calculation of the packet drop probability in the RED algorithm was derived under self-similar flows. Based on the self-similarity and the long-range dependence characteristics of Internet network traffics, a time slot-based RED algorithm on self-similar flows (SFRED) was proposed to the router queue management. The packet drop probability is calculated in every time-slot so that the burden is greatly reduced. It is simulated by NS2 and the experimental results show that the algorithm SFRED outperforms RED. SFRED can control the queue length under adaptive flows with a good throughput.

Original languageEnglish
Pages (from-to)115-120
Number of pages6
JournalTongxin Xuebao/Journal on Communications
Volume31
Issue number10
StatePublished - Oct 2010
Externally publishedYes

Keywords

  • Active queue management
  • Congestion control
  • Network traffic
  • Radom early detection
  • Self-similarity

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