WEI, Hao, PAÑEDA, Xabiel García und RODRIGUEZ, Joaquín Salvachúa, 2025. Optimizing machine learning operations in multi-cloud infrastructure: a framework for unified deployment management and topology discovery. Cluster Computing. 20 November 2025. Vol. 28, no. 14, p. 1-23. DOI 10.1007/s10586-025-05584-7.
Elsevier - Harvard (with titles)Wei, H., Pañeda, X.G., Rodriguez, J.S., 2025. Optimizing machine learning operations in multi-cloud infrastructure: a framework for unified deployment management and topology discovery. Cluster Computing 28, 1-23. https://doi.org/10.1007/s10586-025-05584-7
American Psychological Association 7th editionWei, H., Pañeda, X. G., & Rodriguez, J. S. (2025). Optimizing machine learning operations in multi-cloud infrastructure: a framework for unified deployment management and topology discovery. Cluster Computing, 28(14), 1-23. https://doi.org/10.1007/s10586-025-05584-7
Springer - Basic (author-date)Wei H, Pañeda XG, Rodriguez JS (2025) Optimizing machine learning operations in multi-cloud infrastructure: a framework for unified deployment management and topology discovery.. Cluster Computing 28:1-23. https://doi.org/10.1007/s10586-025-05584-7
Juristische Zitierweise (Stüber) (Deutsch)Wei, Hao/ Pañeda, Xabiel García/ Rodriguez, Joaquín Salvachúa, Optimizing machine learning operations in multi-cloud infrastructure: a framework for unified deployment management and topology discovery., Cluster Computing 2025, 1-23.