IRIS-HEP Fellow: Oleksii Brovarnyk
Fellowship dates: Jul – Sep, 2022
Home Institution: National Technical University "Kharkiv Polytechnic Institute" (NTU "KhPI")
Project: Estimating transfer times of large datasets for scientific computingThis project will continue the existing research of the Rucio team on the estimation of the duration of file transfers for large scale sciences. The distributed data management environment for scientific experiments forms a complex ecosystem with dynamic interactions between users and data centers. Rucio's central role as the data management system, and the rich amount of data gathered about the transfers and data rules life cycles will help in creating machine learning for transfer time estimation.
More information: My project proposal
Mario Lassnig (CERN)
- 14 Sep 2022 - "Estimating transfer times of large datasets for scientific computing", Oleksii Brovarnyk, IRIS-HEP Topical Meetings Recording: Estimating transfer times of large datasets for scientific computing