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Predicting the throughput of large TCP transfers is important for a broad class of applications. This paper focuses on the design, empirical evaluation and analysis of TCP throughput predictors. We first classify TCP throughput prediction techniques into two categories: Formula-Based and History-Based. Within each class, we develop representative prediction algorithms, which we then evaluate empirically over the RON testbed. FB prediction relies on mathematical models that express the TCP throughput as a function of the characteristics of the underlying network path. It does not rely on...