• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
论文

基于价格的拥塞控制模型扩展

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  • (国防科学技术大学计算机学院,湖南 长沙410073)
彭立宏(1972),女,湖南衡山人,博士生,研究方向为计算机网络拥塞控制。张鹤颖(1976),女,陕西西安人,博士,研究方向为计算机网络。

收稿日期: 2009-01-07

  修回日期: 2009-04-30

  网络出版日期: 2011-02-25

基金资助

国家自然科学基金资助项目(60603064)

Development of a PriceBased Congestion Control Model

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  • (School of Computer Science,National University of Defense Technology,Changsha 410073,China)

Received date: 2009-01-07

  Revised date: 2009-04-30

  Online published: 2011-02-25

摘要

基于价格的拥塞控制模型将网络拥塞控制问题抽象为聚合效用最大化的优化问题,已经成为拥塞控制机制设计和分析的一般框架。然而简化的线性模型与现实网络环境有一定差距,不能准确有效地指导新协议的设计与分析。因此,近年来研究人员正试图结合新的技术和应用,扩展完善基于价格的模型,建立更为准确有效的模型来反映现实的网络环境。为了系统地了解该领域研究工作的进展,本文首先简要回顾了基于价格的模型,分析其不足,介绍近年来在模型扩展方面的研究工作,最后指出几个有意义的研究方向。

本文引用格式

彭立宏,张鹤颖,姜新文,窦文华 . 基于价格的拥塞控制模型扩展[J]. 计算机工程与科学, 2011 , 33(2) : 7 -11 . DOI: 10.3969/j.issn.1007130X.2011.

Abstract

The congestion control problem in communication networks has been abstracted as an aggregate utility maximization problem in pricebased congestion control model. Pricebased model has become the general framework to design and analyze congestion control mechanisms. However, a pricebased model is different from real network environments since it is a simplified linear model. In recent years, research efforts are made to extend and improve the pricebased model. In order to systemicaly understand the development of this research area, we first briefly review the concept of pricebased model, and analyzes its limitation, then summarizes the research efforts. Finally, we provide some further interesting research directions.

参考文献

[1]Jacobson V. Congestion Avoidance and Control [J].ACM Computer Communication Review, 1988, 18(4):314329.
[2]Chui D, Jain R. Analysis of the Increase and Decrease Algorithms for Congestion Avoidance in Computer Networks [J].Computer Networks and ISDN Systems, 1989,17(1):114.
[3]Hollot C, Misra V, Towsley D,et al.A Control Theoretic Analysis of RED [C]∥Proc of IEEE INFOCOM’01, 2001:15101519.
[4]Firoiu V, Borden M. A Study of Active Queue Management for Congestion Control [C] ∥ Proc of IEEE INFOCOM’00, 2000:14351444.
[5]Kelly F. Changing and Rate Control for Elastic Traffic [J].European Trans on Telecommunications, 1997,8(1):3337.
[6]Kelly F, Maulloo A, Tan D. Rate Control for Communication Networks: Shadow Prices, Proportional Fairness and Stability [J].Journal of the Operations Research Society, 1998,49(3):237252.
[7]Shenker S. Fundamental Design Issues for the Future Internet [J].IEEE Selected Areas Commun, 1995,13:11761188.
[8]Mamatas L, Harks T, Tsaoussidis V. Approaches to Congestion Control in Packet Networks [J].Journal of Internet Engineering, 2007,1(1):2233.
[9]Cao Z, Zegura E. Utility MaxMin: An ApplicationOriented Bandwidth Allocation Sheme [C] ∥Proc of IEEE INFOCOM’99, 1999:793801.
[10]http://skype.com/products/explained.html.
[11]Cohen B. Incentives Built Robustness in BitTorrent [C] ∥Proc of P2P Economics Workshop, 2003.
[12]Lan T, Lin X, Chiang M,et al.How Bad is Suboptimal Rate Allocation [C] ∥Proc of IEEE INFOCOM’08, 2008:321325.
[13]Lin X, Shroff B. The Impact of Imperfect Scheduling on CrossLayer Congestion Control in Wireless Networks [J].IEEE/ACM Trans on Networking, 2006,14(2):302315.
[14]Tang A, Wang J, Low S H, et al. Equilibrium of Heterogeneous Congestion Control Protocols [C]∥Proc of IEEE INFOCOM’05, 2005:13381349.
[15]Lee J, Mazumdar R, Shroff N. NonConvex Optimization and Rate Control for MultiClass Services in the Internet [J].IEEE/ACM Trans on Networking, 2005(13):10631092.
[16]Hande P, Zhang S, Chiang M. Distributed Rate Allocation for Inelastic Flows [J].IEEE/ACM Trans on Networking, 2007,15(6):12401253.
[17]Cho J, Chong S. Utility MaxMin Flow Control Using Slope Restricted Utility Functions [J].IEEE Trans on Communications, 2007,55(5):963972.
[18]Miller K, Harks T. Utility MaxMin Fair Congestion Control with TimeVarying Delays [C] ∥Proc of IEEE INFOCOM’08, 2008:331335.
[19]Liu J, Proutiere A, Yi Y,et al. FlowLevel Stability of Data Networks with NonConvex and TimeVarying Rate Regions [C] ∥Proc of ACM Sigmetrics, 2007:239250.
[20]Han H, Shakkottai S. Overlay TCP for MultiPath Routing and Congestion Control [C] ∥ The IMA Workshop on Measurements and Modeling of the Internet, 2004.
[21]Lin X , Shroff N B. Utility Maximization for Communication Networks with MultiPath Routing[J].IEEE Trans on Automatic Control, 2006, 51(5):766781.
[22]Wang J, Li L, Low S, et al.CrossLayer Optimization in TCP/IP Networks [J].IEEE/ACM Trans on Networking, 2005, 13(3):582568.
[23]Key P, Massoulié L, Towsley D. Path Selection and Multipath Congestion Control [C]∥Proc of IEEE INFOCOM’07, 2007:143151.
[24]Chen L, Low S, Doyle J. CrossLayer Congestion Control, Routing and Scheduling Design in Ad Hoc Wireless Networks [C] ∥Proc of IEEE INFOCOM’06, 2006: 113.
[25]Chiang M, Low S, Calderbank A,et al.Layering As Optimization Decomposition: A Mathematical Theory of Network Architectures [J].Proc  of IEEE, 2007,95(1):255312.
[26]Lin X,Shroff N B,Srikant R. On the Connection Level Stability of CongestionControlled Communication Networks [J].IEEE Trans on Information Theory, 2008(5):23172338.
[27]Tang A, Wang J, Hegde S,et al. Equilibrium and Fairness of Networks Shared by TCP Reno and Vegas/FAST [C] ∥Proc of Telecommunications SystemsSpecial Issue on High Speed Transport Protocols, 2005:417439.

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