Performance Measurement and Evaluation of Open Source Based Parallel Transfer Tools for End to End Transfer Efficiency Maximization 


Vol. 42,  No. 10, pp. 1999-2011, Oct.  2017
10.7840/kics.2017.42.10.1999


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  Abstract

In case of science data, the size of single file is very large and transfer efficiency is a critical issue in order to utilize it for collaboration of researchers. The performance of applications based on TCP is significantly reduced in network environment where link bandwidth is large and data transfer distance is long. In this case, improvement of transfer performance can be solved in terms of transfer protocol and transfer tool. In this paper, we evaluate the performance of an open source based parallel data transfer tool to maximize the efficiency of large scientific data transfer. Experimental results between KREONET to GLORIAD network environment show that the optimal performance of parallel transfer is measured between 6 channels to 10 channels.

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  Cite this article

[IEEE Style]

J. Park, M. Noh, S. Kim, "Performance Measurement and Evaluation of Open Source Based Parallel Transfer Tools for End to End Transfer Efficiency Maximization," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1999-2011, 2017. DOI: 10.7840/kics.2017.42.10.1999.

[ACM Style]

Jong-seon Park, Min-ki Noh, and Seung-hae Kim. 2017. Performance Measurement and Evaluation of Open Source Based Parallel Transfer Tools for End to End Transfer Efficiency Maximization. The Journal of Korean Institute of Communications and Information Sciences, 42, 10, (2017), 1999-2011. DOI: 10.7840/kics.2017.42.10.1999.

[KICS Style]

Jong-seon Park, Min-ki Noh, Seung-hae Kim, "Performance Measurement and Evaluation of Open Source Based Parallel Transfer Tools for End to End Transfer Efficiency Maximization," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 1999-2011, 10. 2017. (https://doi.org/10.7840/kics.2017.42.10.1999)