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Bartosz Balis

As seen in: Wiley Online Library, arXiv
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Articles

[2408.15445] Towards cloud-native scientific workflow management

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By Bartosz Balis, Krzysztof Janecki
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Improving prediction of computational job execution times with machine learning

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By Tomasz Lelek, Michal Grabowski, Bartosz Balis, Jakub Bodera
| Wiley Online Library Verified
REFERENCES 1, , , , . Towards optimal resource allocation for big data analytics. Open Proceedings. Proceedings of the 25th International Conference on Extending Database Technology, EDBT 2022, Edinburgh, UK, March 29–April 1, 2022; 2022: 338-350. 2, , , , , . Improving HPC system performance by predicting job resources via supervised machine learning. PEARC'19: Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning). ACM; 2019: 1-8. 3, , , .
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