Theses and Dissertations

Author

Dong Zheng

Issuing Body

Mississippi State University

Advisor

Lazarou, Georgios Y.

Committee Member

Chu, Yul

Committee Member

Hu, Rose Qingyang

Date of Degree

1-1-2002

Document Type

Graduate Thesis - Open Access

Major

Electrical Engineering

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Electrical and Computer Engineering

Abstract

In this thesis, a new model for the slow start phase based on the discrete evolutions of congestion window is developed, and we integrate this part into the improved TCP steady state model for a better prediction performance. Combining these short and steady state models, we propose an extensive stochastic model which can accurately predict the throughput and latency of the TCP connections as functions of loss rate, round-trip time (RTT), and file size. We validate our results through simulation experiments. The results show that our model?s predictions match the simulation results better than the Padhye and Cardwell's stochastic models, about 75% improvement in the accuracy of performance predictions for the steady state and 20% improvement for the short-lived TCP flows.

URI

https://hdl.handle.net/11668/20273

Comments

TCP||stochastic model||slow start||congestion avoidance

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