Since Internet is dominated by TCP-based applications, active queue management (AQM) is considered as an effective way for congestion control. However, most AQM schemes suffer obvious performance degradation with dynamic traffic. Extensive measurements found that Internet traffic is extremely bursty and possibly self-similar. We propose in this paper a new AQM scheme called multiscale controller (MSC) based on the understanding of traffic burstiness in multiple time scale. Different from most of other AQM schemes, MSC combines rate-based and queue-based control in two time scales. While the rate-based dropping on burst level (large time scales) determines the packet drop aggressiveness and is responsible for low and stable queuing delay, good robustness and responsiveness, the queue-based modulation of the packet drop probability on packet level (small time scales) will bring low loss and high throughput. Stability analysis is performed based on a fluid-flow model of the TCP/MSC congestion control system and simulation results show that MSC outperforms many of the current AQM schemes.
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Supported by the National Grand Fundamental Research 973 Program of China under Grant No. 2003CB314801, the National Research Foundation for the Doctoral Program of Higher Education of China under Grant No. 20040286001 and the National Natural Science Foundation of China under Grant No. 90604003.
Qi-Jin Ji received his M.E. degree from Nanjing University of Posts and Tele-comunictions, China, in 2002 and Ph.D. degree in the Department of Computer Science and Engineering, Southeast University, Nanjing, China in 2005 respectively. His current research interest is in the areas of Internet congestion control and multimedia networking,
Yong-Qiang Dong received his B.E. and M.E. degrees from Nanjing University of Science and Technology in 1994 and 1997 respectively. Now he is a Ph.D. candidate in Southeast University, China. His research interests include network QoS, congestion control and multimedia communications.
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Ji, Q., Dong, Y. Design and Analysis of a Multiscale Active Queue Management Scheme. J Comput Sci Technol 21, 1022–1030 (2006). https://doi.org/10.1007/s11390-006-1022-8
- active queue management
- multiscale traffic burstiness
- fluid-flow model
- stability analysis