Abstract
Rucio is an open-source software framework that provides scientific collaborations with the functionality to organize, manage, and access their data at scale. The data can be distributed across heterogeneous data centers at widely distributed locations [1]. Since its commissioning in 2014, Rucio has become the de-facto standard for scientific data management, even outside CERN community [6]. The rich amount of data gathered about the transfers by Rucio presents a unique opportunity to better understand the complex mechanisms involved in file transfers across the Worldwide LHC Computing Grid (WLCG). This work focuses on the study of a recently published dataset [4] to reconstruct the lifetime of transfers and reveals important information that can be used to predict the Time To Complete (TTC) of transfers across the WLCG.
Supported by CONICET - IFLP - CERN - LINTI.
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Bogado, J., Lassnig, M., Monticelli, F., Díaz, J. (2021). Modelling Network Throughput of Large-Scale Scientific Data Transfers. In: Naiouf, M., Rucci, E., Chichizola, F., De Giusti, L. (eds) Cloud Computing, Big Data & Emerging Topics. JCC-BD&ET 2021. Communications in Computer and Information Science, vol 1444. Springer, Cham. https://doi.org/10.1007/978-3-030-84825-5_10
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