Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

3-1999

Abstract

This paper analyzes the stationary behavior of the TCP congestion window performing ideal congestion avoidance when the packet loss probability is not constant, but varies as a function of the window size. By neglecting the detailed window behavior during fast recovery, we are able to derive a Markov process that is then approximated by a continuous-time, continuous state space process. The stationary distribution of this process is analyzed and derived numerically and then extrapolated to obtain the stationary distribution of the TCP window. This numerical analysis enables us to predict the behavior of the TCP congestion window when interacting with a router port performing early random drop (or random early detection) where the loss probability varies with the queue occupancy

Keywords

distribution loss, TCP, variable

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

IEEE INFOCOM '99: Proceedings of the 18th IEEE Conference on Computer Communication: New York, 21-25 March

First Page

1564

Last Page

1572

ISBN

9780780354180

Identifier

10.1109/INFCOM.1999.752179

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/INFCOM.1999.752179

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