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Computer Engineering ›› 2006, Vol. 32 ›› Issue (1): 10-12,42.

• Degree Paper • Previous Articles     Next Articles

Traffic Predictability in Self-similar Network and Its Application in AQM

YANG Lu, WU Qingliang   

  1. Key Laboratory of Computer Networks and Information Integration, Ministry of Education, Southeast University, Nanjing 210096
  • Online:2006-01-05 Published:2006-01-05

自相似网络流量可预测性及其在 AQM 中的应用

杨璐,吴清亮   

  1. 东南大学教育部计算机网络和信息集成重点实验室,南京 210096

Abstract: This paper classifies two kinds of predication method of self-similar traffic and compares them. Then it exploits the traffic predictability into active queue management, and proposes a new AQM algorithm using predictability based on RED. In the simulation experiment, the new algorithm shows superior performance than RED in controlling the average queue length of the router.

Key words: Network traffic; Self-similarity; Active queue management (AQM)

摘要: 从网络流量的自相似性带来的可预测性入手,小结了两类常用的预测方法,并对其进行了比较;然后根据已有预测算法,将预测结果引入经典主动队列管理机制——RED 算法中,提出了基于流量预测的RED 算法;最后通过仿真实验表明,该算法能较好地控制平均队列长度,提高主动队列管理的性能。

关键词: 网络流量;自相似性;主动队列管理