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Impact of ICT Infrastructure on the Processing of Large Raster Datasets

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Image Processing and Communications (IP&C 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1062))

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Abstract

Applications used for spatial data processing can operate on files stored on servers, which is a commonly used approach. It is known that this method may not be the best fit for processing very large raster files, however, it is difficult to find useful information on the issue. This is the reason the authors of this article carried out research to determine the real impact of ICT infrastructure on processing of such files. The article also aims to verify whether utilizing virtual desktops can help mitigate the identified adverse effects on the process.

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Acknowledgement

This work was financed by MNiSW, 0033/DW/2018/02, Doktorat Wdrozeniowy.

Author information

Authors and Affiliations

  1. Geoscience Department, KGHM Polska Miedz S.A., Lubin, Poland

    Paweł Kosydor

  2. Department of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Cracow, Poland

    Paweł Kosydor

  3. Surveying Department, KGHM CUPRUM sp. z.o.o. - Research and Development Centre, Wroclaw, Poland

    Ewa Warchala

  4. Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, Cracow, Poland

    Adam Piórkowski

Authors
  1. Paweł Kosydor
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  2. Ewa Warchala
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  3. Adam Piórkowski
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Corresponding author

Correspondence to Paweł Kosydor .

Editor information

Editors and Affiliations

  1. Institute of Telecommunications and Computer Science, University of Science and Technology (UTP), Bydgoszcz, Poland

    Michał Choraś

  2. Department of Telecommunications, Computer Sciences and Electrical Engineering, University of Science and Technology (UTP), Bydgoszcz, Poland

    Ryszard S. Choraś

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Kosydor, P., Warchala, E., Piórkowski, A. (2020). Impact of ICT Infrastructure on the Processing of Large Raster Datasets. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications. IP&C 2019. Advances in Intelligent Systems and Computing, vol 1062. Springer, Cham. https://doi.org/10.1007/978-3-030-31254-1_17

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