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There has been a significant amount of research toward modeling variants of the Transmission Control Protocol (TCP) in order to understand the impact of this protocol on file transmission times and network utilization. Analytical models have emerged as a way to reduce the time required for evaluation when compared with more traditional evaluations performed using event driven simulators such as ns. In addition, when designed carefully, analytical models help researchers make design decisions about novel TCP mechanisms. A wide variety of techniques have been applied to the problem of TCP modeling with a fair amount of success. These techniques range over renewal theory, Markov chains, and fluid models.
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