JAliEn: the new ALICE high-performance and high-scalability Grid framework
EPJ Web Conf., 214 (2019) 03037
Published online: 2019-09-17
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Improving prediction of computational job execution times with machine learning
Bartosz Balis, Tomasz Lelek, Jakub Bodera, Michal Grabowski and Costin GrigorasConcurrency and Computation: Practice and Experience 36 (2) (2024)
https://doi.org/10.1002/cpe.7905
Site Sonar-A Flexible and Extensible Infrastructure Monitoring Tool for ALICE Computing Grid
Kalana Wijethunga, Maksim Storetvedt, Costin Grigoras, Latchezar Betev, Maarten Litmaath, Gayashan Amarasinghe, Indika Perera, R. De Vita, X. Espinal, P. Laycock and O. ShaduraEPJ Web of Conferences 295 04037 (2024)
https://doi.org/10.1051/epjconf/202429504037
Adding multi-core support to the ALICE Grid Middleware
Sergiu Weisz and Marta Bertran FerrerJournal of Physics: Conference Series 2438 (1) 012009 (2023)
https://doi.org/10.1088/1742-6596/2438/1/012009
Dynamo: Handling Scientific Data Across Sites and Storage Media
Yutaro Iiyama, Benedikt Maier, Daniel Abercrombie, Maxim Goncharov and Christoph PausComputing and Software for Big Science 5 (1) (2021)
https://doi.org/10.1007/s41781-021-00054-2
Analysis of data integrity and storage quality of a distributed storage system
Adrian Eduard Negru, Latchezar Betev, Mihai Carabaș, et al.EPJ Web of Conferences 251 02035 (2021)
https://doi.org/10.1051/epjconf/202125102035