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基于模糊流感知的动态优先公平调度算法

邱恭安 张顺颐 胡隽

邱恭安, 张顺颐, 胡隽. 基于模糊流感知的动态优先公平调度算法[J]. 电子与信息学报, 2009, 31(2): 467-471. doi: 10.3724/SP.J.1146.2007.00891
引用本文: 邱恭安, 张顺颐, 胡隽. 基于模糊流感知的动态优先公平调度算法[J]. 电子与信息学报, 2009, 31(2): 467-471. doi: 10.3724/SP.J.1146.2007.00891
Qiu Gon-gan, Zhang Shun-yi, Hu Jun. Fuzzy Flow Awareness Based Dynamical Priority Fair Scheduling Algorithm[J]. Journal of Electronics & Information Technology, 2009, 31(2): 467-471. doi: 10.3724/SP.J.1146.2007.00891
Citation: Qiu Gon-gan, Zhang Shun-yi, Hu Jun. Fuzzy Flow Awareness Based Dynamical Priority Fair Scheduling Algorithm[J]. Journal of Electronics & Information Technology, 2009, 31(2): 467-471. doi: 10.3724/SP.J.1146.2007.00891

基于模糊流感知的动态优先公平调度算法

doi: 10.3724/SP.J.1146.2007.00891
基金项目: 

国家863计划项目(2006AA01Z32)资助课题

Fuzzy Flow Awareness Based Dynamical Priority Fair Scheduling Algorithm

  • 摘要: 为适应网络的动态性,提高调度公平性和资源效率,流感知优先公平调度机制需要动态的多业务区分转发。与链路负载状态相关的模糊流感知能够实现路径上的一致性业务区分,而基于模糊流感知的动态优先公平调度算法通过调整优先队列负载门限在流式流和弹性流之间实现转发优先权的动态交替,在链路轻载时实现不同流间的相对公平调度,在链路重载时则强调实时业务的绝对优先权以保证其时延要求。算法公平性分析和仿真计算显示提出算法的动态区分转发通过适度增加优先业务队长能够大幅度提高弹性流的接纳率,具有较高的链路平均吞吐量和资源效率。
  • Strassne J. Using autonomic principles to manage convergedservices in next generation networks. The Fourth IEEEInternational Workshop on Engineering of Autonomic andAutonomous Systems, Tucson, 26-29 March 2007: 176-186.[2]Oueslati S and Roberts J. A new direction for quality ofservice: flow-aware networking. Next Generation InternetNetworks, Rome, 18~20 April 2005: 226-232.[3]Kortebi A, Oueslati S, and Roberts J. Cross-protect: implicitservice differentiation and admission control. HighPerformance Switching and Routing (HPSR), Phoenix,Arizona, April 18 2004: 56-60.[4]Barakat C and Thiran P, et al.. Modeling Internet backbonetraffic at the flow level[J].IEEE Trans. on Signal Processing.2003, 51(8):2111-2124[5]Roberts J and Oueslati S. Quality of service by flow awarenetworking[J].Philosophical Trans. of The Royal Society ofLondon, series A.2000, 358(1773):2197-2207[6]Kortebi A, Muscariello L, and Oueslati S, et al.. Evaluatingthe number of active flows in a scheduler realizing fairstatistical bandwidth sharing. The ACM internationalconference on Measurement and modeling of computersystems (SIGMETRICS05), Banff, Canada, 6-10 June 2005:217-228.[7]Kortebi A, Oueslati S, and Roberts J. Implicit servicedifferentiation using deficit round robin. Proceedings of ITC19, Beijing, 29 August-2 September 2005.[8]Ashour M and Tho Le-Ngoc. Performance analysis ofweighted fair queues with variable service rates. InternationalConference on Digital Telecommunications ( ICDT '06), CapEsterel, 29-31 Aug. 2006: 51-56.[9]Jiang Y, Emstad P J, and Nevin A, et al.. Measurementbasedadmission control for a flow-aware network. NextGeneration Internet Networks [C], Rome, Italy, 18-20 April2005: 318-325.[10]王万良. 人工智能及其应用. 北京: 高等教育出版社, 2005:112-126.Wang Wan-liang. Artificial Intelligence and Application.Beijing: Higher education press, 2005: 112-126.[11]林闯, 单志广, 任丰原. 计算机网络的服务质量(QoS). 北京:清华大学出版社, 2004: 209-226.Lin Chuang, Shan Zhi-guang, and Ren Feng-yuan. Quality ofService of Computer Networks. Beijing: Tsinghua Universtitypress, 2004: 209-226.[12]Cho HC, Fadali MS, and Lee Hyunjeong. Dynamic queuescheduling using fuzzy systems for Internet routers. The 14thIEEE International Conference on Fuzzy Systems (FUZZ'05),Reno, USA, May 22-25 2005: 471-476.
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出版历程
  • 收稿日期:  2007-06-07
  • 修回日期:  2007-10-12
  • 刊出日期:  2009-02-19

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