Summary: Stochastic Modeling of TCP IP over Random
Alhussein A. Abouzeid, Murat Azizoglu, Sumit Roy ?
Department of Electrical Engineering, University of Washington,
Seattle, WA 98195-2500
Abstract. An analytical framework for modeling the performance of a
single TCP session in the presence of random packet loss is presented
that is based on a semi-Markov model for the window size evolution.
The model predicts the throughput for LANs WANs low and high
bandwidth-delay products with good accuracy, as compared against
simulation results with ns simulator. Generally, higher speed channels
are found to be more vulnerable to random loss than slower channels,
especially for moderate to high loss rates.
TCP IP has been designed for reliable wired networks in which packet losses
occur primarily due to network congestion. TCP employs window-based end-
to-end congestion avoidance 6 by sending an acknowledgment ACK back to
the source for each successful packet. At all times, the source keeps a record of
the number of unacknowledged packets that it has released into the network,