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In this paper, we wish to derive analytic models that predict the performance of TCP flows between specified end-points using routinely observed network characteristics such as loss and delay. The ultimate goal of our approach is to convert network observables into representative user and application relevant performance metrics.The main contributions of this paper are in studying which network performance data sources are most reflective of session characteristics, and then in thoroughly investigating a new TCP model based on  that uses non-invasive network samples to predict the throughput of representative TCP flows between given end-points.
Goyal, Mukul; Guérin, Roch A.; and Rajan, Raju, "Predicting TCP Throughput From Non-invasive Network Sampling" (2002). Departmental Papers (ESE). Paper 92.
Date Posted: 21 May 2005