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<p><b>Abstract</b>—In this paper, we propose a novel approach for reducing the download time of large files over the Internet. Our approach, known as Parallelized File Transport Protocol (P-FTP), proposes simultaneous downloads of disjoint file portions from multiple file servers. P-FTP server selects file servers for the requesting client on the basis of a variety of QoS parameters, such as available bandwidth and server utilization. The sensitivity analysis of our file server selection technique shows that it performs significantly better than random selection. During the file transfer, P-FTP client monitors the file transfer flows to detect slow servers and congested links and adjusts the file distributions accordingly. P-FTP is evaluated with simulations and real-world implementation. The results show at least 50 percent reduction in download time when compared to the traditional file-transfer approach. Moreover, we have also carried out a simulation-based study to investigate the issues related to large scale deployment of our approach on the Internet. Our results demonstrate that a large number of P-FTP users has no adverse effect on the performance perceived by non-P-FTP users. In addition, the file servers and network are not significantly affected by large scale deployment of P-FTP.</p>
Distributed applications, performance measurements, Internet.
Sanjay K. Jha, Shaleeza Sohail, Salil S. Kanhere, Chun Tung Chou, "QoS Driven Parallelization of Resources to Reduce File Download Delay", IEEE Transactions on Parallel & Distributed Systems, vol. 17, no. , pp. 1204-1215, October 2006, doi:10.1109/TPDS.2006.144
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