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
Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
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
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
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
An end-to-end approach for transparent mobility across heterogeneous wireless networks
Mobile Networks and Applications
Design of robust active queue management controllers for a class of TCP communication networks
Information Sciences: an International Journal
Optimization for signal setting problems using non-smooth techniques
Information Sciences: an International Journal
Per-stream loss behavior of ΣMAP/M/1/K queuing system with a random early detection mechanism
Information Sciences: an International Journal
A novel self-tuning feedback controller for active queue management supporting TCP flows
Information Sciences: an International Journal
| Hi-index | 0.07 |
GridFTP is a secure and reliable high-performance parallel data transfer protocol used for transferring massive amounts of widely distributed data. Currently it allows users to configure the number of parallel streams and socket buffer size. However, its tuning procedure for optimal combination is a time consuming task. The socket handlers and buffers are important system resources and must therefore be carefully managed. In this paper, we propose a scheme to achieve high throughput even with a smaller buffer size, and also derive a regression equation to predict the optimal combination of resources for a connection. To improve the performance, the TCP based on our scheme obtains higher throughput and spends less memory for the same throughput than the original TCP scheme. In addition, the regression equation is verified by comparing measured and predicted values, and we apply the equation to an actual experiment on the KOrea advanced REsearch Network (KOREN). The result demonstrates that the equation provides excellent predictions with only an 8% error boundary.