The macroscopic behavior of the TCP congestion avoidance algorithm
ACM SIGCOMM Computer Communication Review
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
A Comparison of TCP Automatic Tuning Techniques for Distributed Computing
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Dynamic Right-Sizing in FTP (drsFTP): Enhancing Grid Performance in User-Space
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Enabling Network-Aware Applications
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
NIST Net: a Linux-based network emulation tool
ACM SIGCOMM Computer Communication Review
Balancing TCP buffer vs parallel streams in application level throughput optimization
Proceedings of the second international workshop on Data-aware distributed computing
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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.