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Optimizing and dimensioning a data intensive cloud application for soccer player tracking Cover

Optimizing and dimensioning a data intensive cloud application for soccer player tracking

International Journal of Computer Science in Sport
Volume 21 (2022): Issue 1 (March 2022)
By: Gergely Dobreff,  Marton Molnar and  Laszlo Toka  
Open Access
|Jun 2022

Authors

Gergely Dobreff

MTA-BME Information Systems Research Group, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary

Marton Molnar

MTA-BME Information Systems Research Group, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary

Laszlo Toka

MTA-BME Information Systems Research Group, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary
DOI: https://doi.org/10.2478/ijcss-2022-0004 | Journal eISSN: 1684-4769
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Language: English
Page range: 30 - 48
Published on: Jun 15, 2022
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
CLOUD NATIVE,
MICROSERVICE,
DIMENSIONING,
SOCCER PLAYER TRACKING
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2022 Gergely Dobreff, Marton Molnar, Laszlo Toka, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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