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1.
EOS deployment on Ceph RBD/CephFS with K8s / Fornari, Federico (INFN, CNAF) ; Costantini, Alessandro (INFN, CNAF) ; Cavalli, Alessandro (INFN, CNAF) ; Cesini, Daniele (INFN, CNAF) ; Duma, Doina Cristina (INFN, CNAF) ; Falabella, Antonio (INFN, CNAF) ; Fattibene, Enrico (INFN, CNAF) ; Mascetti, Luca (CERN) ; Morganti, Lucia (INFN, CNAF) ; Peters, Andreas-Joachim (CERN) et al.
The present activity focused on the integration of different storage systems (EOS [1] and Ceph [2]) with the aim to combine the high level scalability and stability of EOS services with the reliability and redundancy features provided by Ceph. The work has been carried out as part of the collaboration between the national center of INFN (Italian Institute for Nuclear Physics) dedicated to Research and Development on Information and Communication Technologies and the Conseil Européen pour la Recherche Nucléaire (CERN), with the goal of evaluating and testing different technologies for next-generation storage challenges. [...]
2023 - 5 p. - Published in : J. Phys. : Conf. Ser. 2438 (2023) 012032 Fulltext: PDF;
In : 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Korea, 29 Nov - 3 Dec 2021, pp.012032
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2.
The eXtreme-DataCloud project solutions for data management services in distributed e-infrastructures / Cesini, Daniele (INFN, Bologna) ; Donvito, Giacinto (INFN, Bari) ; Costantini, Alessandro (INFN, Bologna) ; Aguilar Gomez, Fernando (Cantabria Inst. of Phys.) ; Duma, Doina Cristina (INFN, Bologna) ; Fuhrmann, Patrick (DESY) ; Dutka, Lukasz (AGH-UST, Cracow) ; Viljolen, Matthew (EGI Foundation, Amsterdam) ; Battaglia, Serena (ECRIN, Paris) ; Poireau, Vincent (Annecy, LAPP) et al.
The eXtreme DataCloud (XDC) project is aimed at developing data management services capable to cope with very large data resources allowing the future e-infrastructures to address the needs of the next generation extreme scale scientific experiments. Started in November 2017, XDC is combining the expertise of 8 large European research organisations. [...]
2020 - 6 p. - Published in : EPJ Web Conf. 245 (2020) 04010 Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.04010
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3.
Advancements in data management services for distributed e-infrastructures: the eXtreme-DataCloud project / Cesini, Daniele (INFN, Bologna) ; Donvito, Giacinto (INFN, Bari) ; Costantini, Alessandro (INFN, Bologna) ; Aguilar Gomez, Fernando (Cantabria Inst. of Phys.) ; Duma, Doina Cristina (INFN, Bologna) ; Fuhrmann, Patrick (DESY) ; Dutka, Lukasz (AGH-UST, Cracow) ; Viljolen, Matthew (Unlisted, NL) ; Battaglia, Serena (Unlisted, FR) ; Poireau, Vincent (Annecy, LAPP) et al.
The development of data management services capable to cope with very large data resources is a key challenge to allow the future e-infrastructures to address the needs of the next generation extreme scale scientific experiments. To face this challenge, in November 2017 the H2020 eXtreme DataCloud - XDC project has been launched. [...]
2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 04044 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.04044
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4.
The eXtreme-DataCloud project: data management services for the next generation distributed e-infrastructures / Cesini, Daniele (INFN, CNAF) ; Costantini, Alessandro (INFN, CNAF) ; Fuhrmann, Patrick (DESY) ; Aguilar, Fernando (Cantabria U., Santander) ; Duma, Cristina (INFN, CNAF) ; Ohmann, Christian (ECRIN, Paris) ; Lemrani, Rachid (CC, Villeurbanne) ; Keeble, Oliver (CERN) ; Battaglia, Serena (ECRIN, Paris) ; Poireau, Vincent (Annecy, LAPP) et al.
The eXtreme-DataCloud (XDC) is an EU H2020 funded project aimed at developing scalable technologies for federating storage resources and managing data in highly distributed computing environments. XDC software stack is based on existing tools, whose technical maturity is proved, that the project enriches with new functionalities and plugins to address real life requirements from user communities belonging to a variety of scientific domains: Life Science, Astrophysics, High Energy Physics, Photon Science and Clinical Research. [...]
2018 - 4 p. - Published in : 10.1109/ROLCG.2018.8572025
In : 11th RO-LCG Conference on Grid, Cloud & High Performance Computing in Science, Cluj-Napoca, Romania, 17 - 19 Oct 2018, pp.8572025
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5.
A container-based solution to generate HTCondor Batch Systems on demand exploiting heterogeneous Clouds for data analysis / Spiga, D (INFN, Perugia) ; Antonacci, M (INFN, Bari) ; Boccali, T (INFN, Pisa) ; Ceccanti, A (INFN, CNAF) ; Ciangottini, D (CERN ; INFN, Perugia) ; Donvito, G (INFN, Bari) ; Duma, C (INFN, CNAF) ; Salomoni, D (INFN, CNAF)
This paper describes the Dynamic On Demand Analysis Service (DODAS), an automated system that simplifies the process of provisioning, creating, managing and accessing a pool of heterogeneous computing and storage resources, by generating clusters to run batch systems thereby implementing the "Batch System as a Service" paradigm. DODAS is built on several INDIGO-DataCloud services among which: the PaaS Orchestrator, the Infrastructure Manager, and the Identity and Access Manager are the most important. [...]
2018 - 2 p. - Published in : 10.1109/NSSMIC.2017.8533143
In : 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2017), Atlanta, Georgia, USA, 21 - 28 Oct 2017, pp.8533143
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