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Parallel TCP flows are broadly used in the high performance distributed computing community to enhance network throughput, particularly for large data transfers. Previous research has studied the mechanism by which parallel TCP improves aggregate throughput, but there doesn't exist any practical mechanism to predict its throughput. In this work, authors address how to predict parallel TCP throughput as a function of the number of flows, as well as how to predict the corresponding impact on cross traffic. To the best of the knowledge, authors are the first to answer the following question on behalf of a user: what number of parallel flows will give the highest throughput with less than a p% impact on cross traffic? Authors term this the maximum non-disruptive throughput.
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