GridFTP is a high-performance, secure and reliable parallel data transfer protocol, used for transferring widely distributed data. Currently it allows users to configure the number of parallel streams and socket buffer size. However, the tuning procedure for its optimal combinations is a time consuming task. The socket handlers and buffers are important system resources and must therefore be carefully managed. In this paper, an efficient resource management scheme which predicts optimal combinations based on a simple regression equation is proposed. In addition, the equation is verified by comparing measured and predicted values and we apply the equation to an actual experiment on the KOREN. The result demonstrates that the equation predicts excellently with only 8% error boundary. This approach eliminates the time wasted tuning procedure. These results can be utilized directly and widely for the fast decision in typical applications such as GridFTP.
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