NDLI: Modeling and taming parallel TCP on the wide area network (2005)

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Modeling and taming parallel TCP on the wide area network (2005)

Content Provider	CiteSeerX
Author	Lu, Dong Qiao, Yi Dinda, Peter A. Bustamante, Fabián E.
Description	In Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium 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 and its impact on the background traffic. In this work, we 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 our knowledge, we 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 Ô impact on cross traffic? We term this the maximum nondisruptive throughput. We begin by studying the behavior of parallel TCP in simulation to help derive a model for predicting parallel TCP throughput and its impact on cross traffic. Combining this model with some previous findings we derive a simple, yet effective, online advisor. We evaluate our advisor through extensive simulations and wide-area experimentation. 1.
File Format	PDF
Language	English
Publisher Date	2005-01-01
Access Restriction	Open
Subject Keyword	Parallel Tcp Parallel Tcp Flow Aggregate Throughput Parallel Tcp Throughput Following Question Previous Finding Online Advisor Background Traffic Extensive Simulation High Performance Wide-area Experimentation Large Data Transfer Maximum Nondisruptive Throughput Practical Mechanism Cross Traffic Wide Area Network Parallel Flow Network Throughput Corresponding Impact Previous Research
Content Type	Text
Resource Type	Article

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