Buffer sizes for large multiplexers: TCP queueing theory and instability analysis

• Published in: 2005 Next Generation Internet Networks pp. 173 - 180
• Main Authors: Raina, G., Wischik, D.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Aggregates; Computer science; Delay; Fluid flow control; Laboratories; Limit-cycles; Multiplexing; Predictive models; Queueing analysis; Traffic control
• ISBN: 9780780389007; 078038900X
• DOI: 10.1109/NGI.2005.1431663

In large multiplexers with many TCP flows, the aggregate traffic flow behaves predictably; this is a basis for the fluid model of Misra, Gong and Towsley V. Misra et al., (2000) and for a growing literature on fluid models of congestion control. In this paper we argue that different fluid models arise from different buffer-sizing regimes. We consider the large buffer regime (buffer size is bandwidth-delay product), an intermediate regime (divide the large buffer size by the square root of the number of flows), and the small buffer regime (buffer size does not depend on number of flows). Our arguments use various techniques from queueing theory. We study the behaviour of these fluid models (on a single bottleneck Kink, for a collection of identical long-lived flows). For what parameter regimes is the fluid model stable, and when it is unstable what is the size of oscillations and the impact on goodput? Our analysis uses an extension of the Poincare-Linstedt method to delay-differential equations. We find that large buffers with drop-tail have much the same performance as intermediate buffers with either drop-tail or AQM; that large buffers with RED are better at least for window sizes less than 20 packets; and that small buffers with either drop-tail or AQM are best over a wide range of window sizes, though the buffer size must be chosen carefully. This suggests that buffer sizes should be much much smaller than is currently recommended.