Abstract
Measurement of the data transfer considered as often task when regular transfer over long distant network of large volume data is required. The data transfer over network depends on many conditions and parameters. Quite often measurements have to be repeated several times. The paper describes procedure how to implement appropriate measurements to store automatically all the parameters and messages during the data transfer. The saved history tracking permits to do detailed comparison of measurement results.
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Acknowledgements
The research has been carried out with the financial support of the Ministry of Education and Science of the Russian Federation under grant agreement #14.575.21.0058.
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Khoruzhnikov, S., Grudinin, V., Sadov, O., Shevel, A., Georgiou, S., Kairkanov, A. (2016). Environment for Data Transfer Measurement. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. DMBD 2016. Lecture Notes in Computer Science(), vol 9714. Springer, Cham. https://doi.org/10.1007/978-3-319-40973-3_42
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DOI: https://doi.org/10.1007/978-3-319-40973-3_42
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