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Environment for Data Transfer Measurement

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Data Mining and Big Data (DMBD 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9714))

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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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References

  1. ISO/IEC JTC 1 - Big Data. Preliminary report (2014). http://www.iso.org/iso/home/store/publication_item.htm?pid=PUB100361

  2. Khoruzhnikov, S.E., Grudinin, V.A., Sadov, O.L., Shevel, A.Y., Kairkanov, A.B.: Transfer of large volume data over internet with parallel data links and SDN. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds.) ICSI-CCI 2015. LNCS, vol. 9142, pp. 463–471. Springer, Heidelberg (2015)

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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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Correspondence to Arsen Kairkanov .

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© 2016 Springer International Publishing Switzerland

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40972-6

  • Online ISBN: 978-3-319-40973-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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