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1.
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Integration of the Italian cache federation within the CMS computing model
/ Ciangottini, Diego (INFN, Perugia ; Perugia U.) ; Bagliesi, Giuseppe (INFN, Pisa) ; Biasotto, Massimo (INFN, Legnaro) ; Boccali, Tommaso (INFN, Pisa) ; Cesini, Daniele (INFN, Bologna) ; Donvito, Giacinto (INFN, Bari) ; Falabella, Antonio (INFN, Bologna) ; Mazzoni, Enrico (INFN, Pisa) ; Spiga, Daniele (INFN, Perugia) ; Tracolli, Mirco (INFN, Perugia)
/CMS Collaboration
The next decades at HL-LHC will be characterized by a huge increase of both storage and
computing requirements (between one and two orders of magnitude). Moreover we foresee a
shift on resources provisioning towards the exploitation of dynamic (on private or public cloud
and HPC facilities) solutions. [...]
CMS-CR-2019-067.-
Geneva : SISSA, 2019 - 12 p.
- Published in : PoS ISGC2019 (2019) 014
Fulltext: CR2019_067 - PDF; PoSISGC2019014 - PDF;
In : International Symposium on Grids & Clouds 2019, Taipei, Taiwan, 31 Mar - 5 Apr 2019, pp.014
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2.
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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.
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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.
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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.
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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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6.
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A dashboard for the Italian computing in ALICE
/ Elia, D (INFN, Bari) ; Vino, G (INFN, Bari ; Unlisted, IT) ; Bagnasco, S (INFN, Turin) ; Crescente, A (INFN, Padua) ; Donvito, G (INFN, Bari) ; Franco, A (INFN, Bari) ; Lusso, S (INFN, Turin) ; Mura, D (INFN, Cagliari) ; Piano, S (INFN, Trieste) ; Platania, G (INFN, Catania)
/ALICE
A dashboard devoted to the computing in the Italian sites for the ALICE experiment at the LHC has been deployed. A combination of different complementary monitoring tools is typically used in most of the Tier-2 sites: this makes somewhat difficult to figure out at a glance the status of the site and to compare information extracted from different sources for debugging purposes. [...]
2017 - 4 p.
- Published in : J. Phys.: Conf. Ser. 898 (2017) 092054
Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.092054
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7.
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TOSCA-based orchestration of complex clusters at the IaaS level
/ Caballer, M (Valencia, Polytechnic U.) ; Donvito, G (INFN, Bari) ; Moltó, G (Valencia, Polytechnic U.) ; Rocha, R (CERN) ; Velten, M (CERN)
This paper describes the adoption and extension of the TOSCA standard by the INDIGO-DataCloud project for the definition and deployment of complex computing clusters together with the required support in both OpenStack and OpenNebula, carried out in close collaboration with industry partners such as IBM. Two examples of these clusters are described in this paper, the definition of an elastic computing cluster to support the Galaxy bioinformatics application where the nodes are dynamically added and removed from the cluster to adapt to the workload, and the definition of an scalable Apache Mesos cluster for the execution of batch jobs and support for long-running services. [...]
2017 - 8 p.
- Published in : J. Phys.: Conf. Ser. 898 (2017) 082036
Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.082036
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8.
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The DArk Matter Particle Explorer mission
/ DAMPE Collaboration
The DArk Matter Particle Explorer (DAMPE), one of the four scientific space science missions within the framework of the Strategic Pioneer Program on Space Science of the Chinese Academy of Sciences, is a general purpose high energy cosmic-ray and gamma-ray observatory, which was successfully launched on December 17th, 2015 from the Jiuquan Satellite Launch Center. The DAMPE scientific objectives include the study of galactic cosmic rays up to $\sim 10$ TeV and hundreds of TeV for electrons/gammas and nuclei respectively, and the search for dark matter signatures in their spectra. [...]
arXiv:1706.08453.-
2017-10 - 19 p.
- Published in : Astropart. Phys. 95 (2017) 6-24
Preprint: PDF;
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9.
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Improvements of LHC data analysis techniques at Italian WLCG sites. Case-study of the transfer of this technology to other research areas
/ Solestizi, L Alunni (INFN, Perugia ; Perugia U.) ; Argiro, S (INFN, Turin ; Turin U.) ; Bagnasco, S (INFN, Turin) ; Barberis, D (Genoa U. ; INFN, Genoa) ; Barone, L M (INFN, Rome ; Rome U.) ; Boccali, T (INFN, Pisa) ; Bonacorsi, D (Bologna U. ; INFN, Bologna) ; Candelise, V (INFN, Trieste ; Trieste U.) ; Carlino, G (INFN, Naples) ; Casula, E (Cagliari U. ; INFN, Cagliari) et al.
In 2012, 14 Italian institutions participating in LHC Experiments won a grant from the Italian Ministry of Research (MIUR), with the aim of optimising analysis activities, and in general the Tier2/Tier3 infrastructure. We report on the activities being researched upon, on the considerable improvement in the ease of access to resources by physicists, also those with no specific computing interests. [...]
2015 - 10 p.
- Published in : J. Phys.: Conf. Ser. 664 (2015) 032006
IOP Open Access article: PDF;
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.032006
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10.
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Interactive access and optimization of a CMS computing farm
/ Donvito, G (INFN, Bari) ; Spinoso, V (INFN, Bari ; Bari U.) ; Maggi, G P (INFN, Bari ; Bari Polytechnic)
CMS data taking at LHC is going on and its computing activity is increasing day after day. The need of efficient and reliable computing centers to run analysis and MC production is getting more and more pressing. [...]
2011 - 3 p.
- Published in : Nucl. Phys. B, Proc. Suppl. 215 (2011) 82-84
In : 12th Topical Seminar on Innovative Particle and Radiation Detectors, Sienna, Italy, 7-10 Jun 2010, pp.82-84
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