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Using multiple parallel streams for wide area data transfers may yield much better performance than using a single stream, but overwhelming the network by opening too many streams may have an inverse effect. The congestion created by excess number of streams may cause a drop down in the throughput achieved. Hence, it is important to decide on the optimal number of streams without congesting the network. The design and implementation of an application-layer data throughput prediction and optimization service in widely distributed environments is presented in this paper. This service uses multiple parallel TCP streams to improve the end-to-end throughput of data transfers. A novel mathematical model is developed to determine the number of parallel streams, required to achieve the best network performance.
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