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pro vyhledávání: '"Jakub Moscicki"'
This document summarizes the work done in the context of Deliverable D1.1 of Work Package 1 in the CS3MESH4EOSC project. Detailed information is provided regarding all official project meetings organized to date, as well as pointers to all relevant d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3acc452324cb6b782c2cd0eae066b861
Autor:
Jakub Moscicki, Armin Burger, David Antos, Frederik Orellana, Gavin Kennedy, Guido Aben, Holger Angenent, Lars Kierkegaard, Laura Castelucci, Lorenzo Posani, Maciej Brzezniak, Martin Bech, Massimo Lamanna, Pierre Soille, Renato Furter, Ron Trompert, Sieprawski Marcin, Victoria Cochrane
Open Data Science Mesh (CS3MESH4EOSC) is a newly funded project to create a new generation, interoperable federation of data and higher-level services to enable friction-free collaboration between European researchers. This new EU-funded project brin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a53f4b490e10ccedb2a77494e64c3793
Autor:
Cristian I. Contescu, Massimo Lamanna, Hugo Gonzalez Labrador, Herve Rousseau, Giuseppe Lo Presti, Belinda Chan Kwok Cheong, Jakub Moscicki, Xavier Espinal Curull, Dan van der Ster, Jan Iven, Luca Mascetti
Publikováno v:
EPJ Web of Conferences, Vol 214, p 04033 (2019)
The CERN IT Storage group operates multiple distributed storage systems and is responsible for the support of the infrastructure to accommodate all CERN storage requirements, from the physics data generated by LHC and non-LHC experiments to the perso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b48826216e34df20734a0772e8e8aff
http://cds.cern.ch/record/2701403
http://cds.cern.ch/record/2701403
Autor:
Prasanth Kothuri, Enrico Bocchi, Maciej Malawski, Danilo Piparo, Jan Kaspar, Jakub Moscicki, Leszek Grzanka, Valentina Avati, Enrico Guiraud, Milosz Blaszkiewicz, Massimo Lamanna, Luca Canali, Javier Cervantes, Aleksandra Mnich, Shravan Murali, Diogo Castro, Enric Tejedor
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030293994
Euro-Par
Euro-Par
The High-Energy Physics community faces new data processing challenges caused by the expected growth of data resulting from the upgrade of LHC accelerator. These challenges drive the demand for exploring new approaches for data analysis. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd5353349650f46de0cffc75a42f4172
https://doi.org/10.1007/978-3-030-29400-7_18
https://doi.org/10.1007/978-3-030-29400-7_18
Autor:
Enrico Bocchi, Massimo Lamanna, Pere Mato, Jakub Moscicki, Hugo Gonzalez, Enric Tejedor, Danilo Piparo, Diogo Castro
Publikováno v:
EPJ Web of Conferences, Vol 214, p 07022 (2019)
SWAN (Service for Web-based ANalysis) is a CERN service that allows users to perform interactive data analysis in the cloud, in a “software as a service” model. It is built upon the widely-used Jupyter notebooks, allowing users to write - and run
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe9dcc02a5cd142ee4fd7b1ee296c4c6
http://cds.cern.ch/record/2698980
http://cds.cern.ch/record/2698980
Autor:
Enric Tejedor, Aleksandra Mnich, Valentina Avati, Enrico Bocchi, Prasanth Kothuri, Milosz Blaszkiewicz, Enrico Guiraud, Javier Cervantes, Luca Canali, Jan Kaspar, Massimo Lamanna, Leszek Grzanka, Danilo Piparo, Shravan Murali, Maciej Malawski, Jakub Moscicki, Diogo Castro
Publikováno v:
UCC Companion
The High Energy Physics community has been developing dedicated solutions for processing experiment data over decades. However, with recent advancements in Big Data and Cloud Services, a question of application of such technologies in the domain of p
Autor:
Ishank Arora, Hugo Gonzalez Labrador, Pedro G. Ferreira, Samuel Alfageme Sainz, Jakub Moscicki
Publikováno v:
EPJ Web of Conferences, Vol 251, p 02041 (2021)
In recent years, cloud sync & share storage services, provided by academic and research institutions, have become a daily workplace environment for many local user groups in the High Energy Physics (HEP) community. These, however, are primarily disco
Autor:
Hugo Gonzalez Labrador, Diogo Castro, Giuseppe Lo Presti, Cristian I. Contescu, Massimo Lamanna, Georgios Alexandropoulos, Enrico Bocchi, Belinda Chan, Remy Pelletier, Paul Musset, Luca Mascetti, Roberto Valverde, Edward Karavakis, Jakub Moscicki
Publikováno v:
EPJ Web of Conferences, Vol 214, p 04038 (2019)
CERNBox is the CERN cloud storage hub. It allows synchronizing and sharing files on all major desktop and mobile platforms (Linux, Windows, MacOSX, Android, iOS) aiming to provide universal access and offline availability to any data stored in the CE
SWAN (Service for Web based ANalysis) is a platform to perform interactive data analysis in the cloud. SWAN allows users to write and run their data analyses with only a web browser, leveraging on the widely-adopted Jupyter notebook interface. The us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f6decf8bf62b77c2b344d8aaa69d6a5
http://cds.cern.ch/record/2158559
http://cds.cern.ch/record/2158559
Publikováno v:
IEEE Systems Journal, 3(1), 121-130. Institute of Electrical and Electronics Engineers Inc.
This paper presents a hybrid resource management environment, operating on both application and system levels developed for minimizing the execution time of parallel applications with divisible workload on heterogeneous grid resources. The system is