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一种基于双模控制的主动队列管理新算法 被引量：3

A Novel Active Queue Management Algorithm Based on Double Model Control
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摘要 随机指数标记算法(REM)是一种有效的主动队列管理算法,但由于TCP/IP网络流量模型呈现非线性特性,故而其控制效果不佳,存在队列稳定性差,对动态流量响应慢等问题。为了解决上述问题,提出了基于双模控制的主动队列管理算法(Fuzzy-REM)。算法采用分段控制策略,在瞬时队列偏差大于阈值时,采用模糊控制,反之采用REM控制,从而将模糊控制的快速响应和REM稳态性能好的优点结合起来。NS2中的仿真实验表明,相对于REM算法,Fuzzy-REM提高了队列稳定性,加快了收敛速度,增强了算法对网络环境变化的适应性。 Random exponential marking （REM） is an effective algorithm for active queue management （AQM）, but suffers from some problems such as big queue jitter and sluggish response to dynamic traffic due to the nonlinear property of TCP/IP network. To solve the above mentioned problems, a novel AQM algorithm based on double model control called Fuzzy - REM is proposed, which synthesizes the advantages of both fuzzy and REM controlling modes by using the segment control strategy. When the error of queue length is larger than the threshold, fuzzy controller is used to achieve high convergence speed, otherwise REM is used to get stable queue. The simulation experiments in NS2 demonstrate that Fuzzy - REM can achieve higher convergence speed, smaller queue jitter, and the adaptability to variable network conditions is enhanced effectively.
作者 汪浩 马学韬 田作华
机构地区 上海交通大学自动化系
出处 《计算机仿真》 CSCD 北大核心 2009年第8期112-115,127,共5页 Computer Simulation
关键词 网络拥塞控制 主动队列管理 随机指数标记 模糊控制 双模控制 Network congestion control Active queue management （AQM） Random exponential marking （REM） Fuzzy control Double model control
分类号 TP393 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献6

  • 1B Braden, et al. Recommendations on Queue Management and Congestion Avoidance in the Intemet [ S ]. RFC2309, Network Working Group, 1994. 1 - 17.
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  • 3C V Hollot, et al. On designing improved controllers for AQM rout- ers supporting TCP flows [ C ]. Proc. IEEE INFOCOM, 2001. 1726 - 1734.
  • 4S Athuraliya, et al. REM : Active queue management [ J ]. IEEE Network Magazine, 2001,15 ( 3 ) : 48 - 53.
  • 5S Kunnuyur and R Srikant. An Adaptive Virtual Queue (AVQ) Algorithm for Active Queue Management [ J ]. IEEE/ACM Transactions on Networking. 2004,12(2) : 286 -299.
  • 6罗鸣,牛玉刚,王行愚,孙培林.一种基于模糊-比例积分双模控制的主动队列管理算法[J].华东理工大学学报（自然科学版）,2008,34(1):103-107. 被引量：2

二级参考文献7

  • 1章卫国 杨向东.模糊控制理论与应用[M].西安：西北工业大学出版社,2000..
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  • 7Kunniyur S, Srikant R. Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management[J]. ACM Computer Communication Review, 2001, 31(4) : 123-134.

共引文献1

同被引文献33

  • 1BRADEN B, CLARK D, CROWCROFT J, et al.RFC 2309, Re-commendations on queue management and congestion avoidance in the Internet[S].[S.l.]: IETF, 1998.
  • 2FLOYD S, JACOBSON V.Random early detection gateways for congestion avoidance[J].IEEE/ACM Trans on Networking, 1993, 1(4): 397-413.
  • 3HOLLOT C V, MISRA V, TOWSLEY D, et al.On designing improved controllers for AQM routers supporting TCP flows[C]//Proc of IEEE INFOCOM.Piscataway, NJ: IEEE Press, 2001: 1726-1734.
  • 4KUNNUYUR S S, SRIKANT R.An adaptive virtual queue (AVQ) algorithm for active queue management[J].IEEE/ACM Trans on Networking, 2004, 12(2): 286-299.
  • 5ATHURALIYA S, LI V H, LOW S, et al.REM: active queue ma-nagement[J].IEEE Network, 2001, 15(3): 48-53.
  • 6SUN Jin-sheng, ZUKERMAN M, PALANISWAMI M.An adaptive REM for improving AQM performance[C]//Proc of IEEE Ingternatianal Conference on Communications.Piscataway, NJ: IEEE Press, 2008: 75-79.
  • 7WANG Hao, TIAN Zuo-hua.Intelligent price-based congestion control for communication networks[C]//Proc of the 18th Interenational Workshop on Quality of Service.Piscataway, NJ: IEEE Press, 2010: 1-5.
  • 8RAMAKRISHNAN K, FLOYD S.RFC 2481, A proposal to add explicit congestion notification (ECN) to IP [S].[S.1.]: IETF, 1999.
  • 9Floyd S,Jacobson V.Random Early Detection Gateways for Congestion Avoidance. IEEE ACM Transactions on Networking . 1993
  • 10Hollot CV,Misra V,Towsley D,et al.On designing improved controllers for AQM routers supporting TCP flows. Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 2001 . 2001

引证文献3

二级引证文献4

计算机仿真
2009年 第8期

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