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Blaze: A High-Performance, Scalable, and Efficient Data Transfer Framework with Configurable and Extensible Features : Principles, Implementation, and Evaluation of a Transatlantic Inter-Cloud Data Transfer Case Study.

, , , , , , , , , , и . CLOUD, стр. 58-68. IEEE, (2023)

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Rolf-Walter Briant

Benoît Briand

Ursula Brian

Annette Brians

Brian Alexander

 

Другие публикации лиц с тем же именем

Machine Learning Lifecycle for Earth Science Application: A Practical Insight into Production Deployment., , , , , , , , , и 1 other автор(ы). IGARSS, стр. 10043-10046. IEEE, (2019)Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System., , , , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Generative Framework Approach to Match Landsat and Sentinel-2 Data., , , , , и . IGARSS, стр. 5101-5104. IEEE, (2023)Alternative Datasets for Identification of Earth Science Events and Data., , , , , и . IGARSS, стр. 9510-9513. IEEE, (2019)Blaze: A High-Performance, Scalable, and Efficient Data Transfer Framework with Configurable and Extensible Features : Principles, Implementation, and Evaluation of a Transatlantic Inter-Cloud Data Transfer Case Study., , , , , , , , , и 1 other автор(ы). CLOUD, стр. 58-68. IEEE, (2023)Employing Deep Learning to Enable Visual Exploration of Earth Science Events., , , , , , , , , и . IGARSS, стр. 2248-2251. IEEE, (2020)