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Analytical Model for Congestion Control and Throughput with TCP CUBIC Connections | IEEE Conference Publication | IEEE Xplore

Analytical Model for Congestion Control and Throughput with TCP CUBIC Connections


Abstract:

We develop a Markov model for a TCP CUBIC connection. Next we use it to obtain approximate expressions for throughput when there may be queuing in the network. Finally we...Show More

Abstract:

We develop a Markov model for a TCP CUBIC connection. Next we use it to obtain approximate expressions for throughput when there may be queuing in the network. Finally we provide the throughputs different TCP CUBIC and TCP NewReno connections obtain while sharing a channel when they may have different round trip delays and packet loss probabilities.
Date of Conference: 05-09 December 2011
Date Added to IEEE Xplore: 19 January 2012
ISBN Information:

ISSN Information:

Conference Location: Houston, TX, USA

I. Introduction

TCP along with UDP has been the dominant transport layer protocol for the Internet. Traditionally TCP (TCP Reno [1] and TCP NewReno [2]) has been using an AIMD (Additive Increase Multiplicative Decrease) algorithm for congestion control. In the 'AI’ phase of the algorithm, the window sizes are increased linearly at the rate of one packet per RTT (round trip time). On detection of congestion, the window size is reduced to half of its current value, this is the 'MD’ phase of the algorithm. The specifics of the AIMD algorithm can be found in [3], [4].

References

References is not available for this document.