Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Marco Meoni"'
Autor:
Mariangela Manfredi, Heidi De Baere, Xavier Bossuyt, Valentina Grossi, Maria Infantino, Daria Franceschi, Stefanie Van den Bremt, Marco Meoni, Nicola Bizzaro, Lieve Van Hoovels, Emiliano Tosi, Maurizio Benucci
Publikováno v:
Clinical Chemistry and Laboratory Medicine (CCLM). 59:1247-1255
Objectives Currently available computer-aided diagnosis (CAD) systems for the detection of anti-nuclear antibodies (ANA) by indirect immunofluorescence (IIF) assay enable a standardized measurement of system-specific fluorescent intensity (FI) measur
Publikováno v:
Journal of grid computing 16 (2018): 211–228. doi:10.1007/s10723-018-9436-4
info:cnr-pdr/source/autori:Meoni M.; Perego R.; Tonellotto N./titolo:Dataset popularity prediction for caching of CMS big data/doi:10.1007%2Fs10723-018-9436-4/rivista:Journal of grid computing/anno:2018/pagina_da:211/pagina_a:228/intervallo_pagine:211–228/volume:16
info:cnr-pdr/source/autori:Meoni M.; Perego R.; Tonellotto N./titolo:Dataset popularity prediction for caching of CMS big data/doi:10.1007%2Fs10723-018-9436-4/rivista:Journal of grid computing/anno:2018/pagina_da:211/pagina_a:228/intervallo_pagine:211–228/volume:16
The Compact Muon Solenoid (CMS) experiment at the European Organization for Nuclear Research (CERN) deploys its data collections, simulation and analysis activities on a distributed computing infrastructure involving more than 70 sites worldwide. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c556f30c010049cc437f0fb1c158ff6
Autor:
Justinas Rumševičius, Daniele Bonacorsi, T. Boccali, Luca Menichetti, Valentin Kuznetsov, Marco Meoni
Publikováno v:
18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT2017) 21–25 August 2017, Seattle, United States of America, Bristol : IOP Publishing Ltd., 2018, art. no. 032055, p. 1-9
The CERN IT provides a set of Hadoop clusters featuring more than 5 PBytes of raw storage with different open-source, user-level tools available for analytical purposes. The CMS experiment started collecting a large set of computing meta-data, e.g. d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c4a02b6b417c12533ee951e8ca68939
http://arxiv.org/abs/1711.00552
http://arxiv.org/abs/1711.00552
Performance data and metadata of the computing operations at the CMS experiment are collected through a distributed monitoring infrastructure, currently relying on a traditional Oracle database system. This paper shows how to harness Big Data archite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86db6a691c89c839f0f4ae6ba984408c
http://cds.cern.ch/record/2296795
http://cds.cern.ch/record/2296795
Autor:
Marco Meoni
Publikováno v:
eScience
Grid computing is traditionally applied for batch jobs in the scientific and academic computing. This is also the case at WLCG, the global computing infrastructure providing the production and analysis environments for the LHC experiments at CERN. In
Autor:
Marco Meoni
Publikováno v:
GRID
The traditional use of Grid computing consists in submitting batch jobs and waiting for results to be produced, without any prediction of the time at which a job will be effectively started at a selected site. This paper aims at widening the use of G
Autor:
Marco Meoni
Publikováno v:
HPDC
Grid computing has the intrinsic disadvantages of a batch system: the undetermined delay between the time a job is submitted and the time it is completed. Our approach to this problem is iGrid, a framework that proposes to change the Grid from a batc
Publikováno v:
2010 IEEE International Conference on Imaging Systems and Techniques.
Fluorescence in situ hybridization (FISH) is a cytogenetic technique used to detect the presence of specific DNA sequences on chromosomes. An application of FISH targets the measurement of the amplification of the HER-2 gene within the chromosomes. T
Publikováno v:
ACM Multimedia
In this technical demonstration we show an integrated web system for video search and annotation based on ontologies. The system is composed by three components: the Orione ontology-based search engine, the Sirio\footnote{Sirio was the hound of Orion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::799ceff57d69801dbb11133641fd447e
https://hdl.handle.net/11380/979916
https://hdl.handle.net/11380/979916
Publikováno v:
WSM@MM
Nowadays, almost any web site that provides means for sharing user-generated multimedia content, like Flickr, Facebook, YouTube and Vimeo, has tagging functionalities to let users annotate the material that they want to share. The tags are then used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a371d33965987c7d4c4fffcf957a490
https://hdl.handle.net/11380/979909
https://hdl.handle.net/11380/979909