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一种基于组合型模糊控制的主动队列管理算法 被引量：3

An Active Queue Management Algorithm Based on Combination Fuzzy Control
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摘要 计算机网络具有的复杂性和动态特性使传统控制理论难以进行主动队列管理(Active QueueManagement,AQM)算法的设计和分析.本文在模糊集合和模糊系统理论的基础上设计了一个主动队列管理算法CF(Combination Fuzzy control).其中模糊控制器I根据瞬时队列的长度和变化值计算控制量;模糊控制器II根据系统负载因子计算控制增益.通过选择模糊控制器参数,模糊控制系统与使用PI(Proportional-Inte-gral)控制器的系统具有相同的局部稳定性.最后通过仿真对CF、PI和单模糊控制器的性能进行了比较. Due to the complexity and dynamic characteristics of computer network, traditional control theory is difficult to apply to the algorithm desig and analysis of AOM（Active Queue Management）. In this paper, an AQM algorithm named CF （Combination Fuzzy control） is presented, which is based on fuzzy sets and fuzzy system theory. Fuzzy controller I computes the control value based on the instantaneous queue length and the derivation of queue length, and fuzzy controller II computes the control gain based on the queue load factor. Proper choice of fuzzy controller parameters endows the fuzzy control system with the same local stability as the PI control system. Simulations are made to verifiy the presented algorithm and to compare the performances of CF, PI （Proportional-Integral） and single fuzzy controllers.
作者 张少博 周之平 吴介一 郭小清
机构地区 东南大学CIMS中心
出处 《信息与控制》 CSCD 北大核心 2007年第2期204-210,217,共8页 Information and Control
关键词 拥塞控制 模糊控制 主动队列管理 congestion control fuzzy control active queue management
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献15

  • 1RFC2309,Recommendations on queue management and congestion avoidance in the Internet[S].
  • 2Floyd S,Jacobson V.Random early detection gateways for congestion avoidance[J].IEEE/ACM Transactions on Networking,1993,1(4):397 ～413.
  • 3Feng W C,Kandlur D D,Saha D,et al.A self-configuring RED gateway[A].Proceedings of the IEEE INFOCOM[C].Piscataway,NJ,USA:IEEE,1999.1320～ 1328.
  • 4Ott T J,Lakshman T V,Wong L H.SRED:Stabilized RED[A].Proceedings of the IEEE INFOCOM[C].Piscataway,NJ,USA:IEEE,1999.1346 ～ 1355.
  • 5Feng W C,Shin K G,Kandlur D D,et al.The Blue:Active queue management algorithms[J].IEEE/ACM Transactions on Networking,2002,10(4):513 ～528.
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  • 8Misra V,Gong W B,Towsley D.Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED[J].Computer Communication Review,2000,30 (4):151 ～ 160.
  • 9Hollot C V,Misra V,Towsley D,et al.A control theoretic analysis of RED[A].Proceedings of the IEEE INFOCOM[C].Piscataway,NJ,USA:IEEE,2001.1510～1519.
  • 10Hollot C V,Misra V,Towsley D,et al.On designing improved controllers for AQM routers supporting TCP flows[A].Proceedings of the IEEE INFOCOM[C].Piscataway,NJ,USA:IEEE,2001.1726 ～ 1734.

二级参考文献31

  • 1[1]V. Jacobson, M. J. Karels, Congestion avoidance and control, In Proc. of the ACM SIGCOMM'88Conference, Stanford, CA, USA, 1988, 314-329.
  • 2[2]W. Stevens, TCP slow start, congestion avoidance, fast retransmit, and fast recovery. RFC 2001,http://www.rfc.net/rfc2001.html.
  • 3[3]S. Floyd, The addition of Explicit Congestion Notification(ECN) to IP, http://www.aciri.org/floyd/papers.html.
  • 4[4]A. ManKim, K. Ramakrishnan, Gateway congestion control survey, RFC1254, http://www.rfc.net/rfc1254.html.
  • 5[5]B. Braden, et al., Recommendations on queue management and congestion avoidance in the Internet, RFC2309, http://www.rfc.net/rfc2309.html.
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  • 7[7]S. Floyd, A report on some recent development in TCP congestion control, http://www.aciri.org/floyd/papers.html.
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  • 9[9]V. Firoiu, M. Borden, A study of active queue management for congestion control, In Proc. of INFOCOM2000 Conference, Tel Aviv, Israel, 2000, 1435-1444.
  • 10[10]M. May, T. Bonald, T. Bolot, Analytic evaluation of RED performance. In Proc. of INFOCOM2000 Conference, Tel Aviv, Israel, 2000, 1415-1424.

共引文献59

同被引文献22

引证文献3

二级引证文献8

信息与控制
2007年 第2期

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