Modelling Network Throughput of Large-Scale Scientific Data Transfers
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-84825-5_10
Reference8 articles.
1. Barisits, M., et al.: Rucio - scientific data management, February 2019. arXiv e-prints. arXiv:1902.09857. https://arxiv.org/abs/1902.09857
2. Begy, V., Barisits, M., Lassnig, M., Schikuta, E.: Forecasting network throughput of remote data access in computing grids. J. Comput. Sci. 44, 101158 (2020). https://doi.org/10.1016/j.jocs.2020.101158. http://www.sciencedirect.com/science/article/pii/S1877750320304592
3. Bogado, J., Monticelli, F., Diaz, J., Lassnig, M., Vukotic, I.: Modelling high-energy physics data transfers. In: 2018 IEEE 14th International Conference on e-Science (e-Science), pp. 334–335 (2018). https://doi.org/10.1109/eScience.2018.00081
4. Bogado, J., Lassnig, M., Monticelli, F., Díaz, J., Beermann, T.: Atlas rucio transfers dataset. Zenodo, December 2020. https://doi.org/10.5281/zenodo.4320937
5. Kiryanov, A., Álvarez Ayllón, A., Salichos, M., Keeble, O.: FTS3 - a file transfer service for grids, HPCs and clouds. In: International Symposium on Grids and Clouds 2015, p. 028, March 2016. https://doi.org/10.22323/1.239.0028
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