Optimizing Big Data Workloads in Hybrid Cloud Environments: Evaluating File Formats and Compression Codecs
Kantó, Attila and Marosi, Attila Csaba (2025) Optimizing Big Data Workloads in Hybrid Cloud Environments: Evaluating File Formats and Compression Codecs. In: IEEE 23rd International Symposium on Intelligent Systems and Informatics (SISY 2025). IEEE Hungary Section, Budapest, pp. 31-36. ISBN 9798331596576; 9798331596569 10.1109/SISY67000.2025.11205406
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Official URL: https://doi.org/10.1109/SISY67000.2025.11205406
| Item Type: | Book Section |
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| Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| Divisions: | Laboratory of Parallel and Distributed Systems |
| SWORD Depositor: | MTMT Injector |
| Depositing User: | MTMT Injector |
| Date Deposited: | 13 Jan 2026 07:40 |
| Last Modified: | 13 Jan 2026 07:40 |
| URI: | https://eprints.sztaki.hu/id/eprint/11042 |
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