The transfer of big data is increasingly supported by dedicated channels in high-
performance networks, where transport protocols play an important role in maximizing
application-level throughput and link utilization. The performance of transport protocols
largely depend on their control parameter settings, but it is prohibitively time consuming to
conduct an exhaustive search in a large parameter space to find the best set of parameter
values. We propose FastProf, a stochastic approximation-based transport profiler, to quickly …

The transfer of big data is increasingly supported by dedicated channels in high-
performance networks, where transport protocols play an important role in maximizing
application-level throughput and link utilization. The performance of transport protocols
largely depend on their control parameter settings, but it is prohibitively time consuming to
conduct an exhaustive search in a large parameter space to find the best set of parameter
values. We propose FastProf, a stochastic approximation-based transport profiler, to quickly …