CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research

被引:151
作者
Sherif, Tarek [1 ]
Rioux, Pierre [1 ]
Rousseau, Marc-Etienne [1 ]
Kassis, Nicolas [1 ]
Beck, Natacha [1 ]
Adalat, Reza [1 ]
Das, Samir [1 ]
Glatard, Tristan [1 ,2 ]
Evans, Alan C. [1 ]
机构
[1] McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, ACElab, Montreal, PQ H3A 2B4, Canada
[2] Univ Lyon, CNRS, INSERM, CREATIS, Lyon, France
关键词
eScience; distributed computing; meta-scheduler; collaborative platform; interoperability; cloud computing; neuroimaging; visualization;
D O I
10.3389/fninf.2014.00054
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Canadian Brain Imaging Research Platform (CBRAIN) is a web-based collaborative research platform developed in response to the challenges raised by data-heavy, compute-intensive neuroimaging research. CBRAIN offers transparent access to remote data sources, distributed computing sites, and an array of processing and visualization tools within a controlled, secure environment. Its web interface is accessible through any modern browser and uses graphical interface idioms to reduce the technical expertise required to perform large-scale computational analyses. CBRAIN's flexible meta-scheduling has allowed the incorporation of a wide range of heterogeneous computing sites, currently including nine national research High Performance Computing (HPC) centers in Canada, one in Korea, one in Germany, and several local research servers. CBRAIN leverages remote computing cycles and facilitates resource-interoperability in a transparent manner for the end-user. Compared with typical grid solutions available, our architecture was designed to be easily extendable and deployed on existing remote computing sites with no tool modification, administrative intervention, or special software/hardware configuration. As October 2013, CBRAIN serves over 200 users spread across 53 cities in 17 countries. The platform is built as a generic framework that can accept data and analysis tools from any discipline. However, its current focus is primarily on neuroimaging research and studies of neurological diseases such as Autism, Parkinson's and Alzheimer's diseases, Multiple Sclerosis as well as on normal brain structure and development. This technical report presents the CBRAIN Platform, its current deployment and usage and future direction.
引用
收藏
页数:13
相关论文
共 45 条
[1]   BigBrain: An Ultrahigh-Resolution 3D Human Brain Model [J].
Amunts, Katrin ;
Lepage, Claude ;
Borgeat, Louis ;
Mohlberg, Hartmut ;
Dickscheid, Timo ;
Rousseau, Marc-Etienne ;
Bludau, Sebastian ;
Bazin, Pierre-Louis ;
Lewis, Lindsay B. ;
Oros-Peusquens, Ana-Maria ;
Shah, Nadim J. ;
Lippert, Thomas ;
Zilles, Karl ;
Evans, Alan C. .
SCIENCE, 2013, 340 (6139) :1472-1475
[2]  
Andreetto P., 2008, Journal of Physics: Conference Series, V119, DOI 10.1088/1742-6596/119/6/062007
[3]   Standards-Based Job Management in Grid Systems [J].
Andreetto, Paolo ;
Andreozzi, Sergio ;
Ghiselli, Antonia ;
Marzolla, Moreno ;
Venturi, Valerio ;
Zangrando, Luigi .
JOURNAL OF GRID COMPUTING, 2010, 8 (01) :19-45
[4]  
Antoniu G, 2012, ERCIM NEWS, P21
[5]   Ruby on rails [J].
Baechle, Michael ;
Kirchberg, Paul .
IEEE SOFTWARE, 2007, 24 (06) :105-108
[6]   The GENIUS Grid Portal and robot certificates: a new tool for e-Science [J].
Barbera, Roberto ;
Donvito, Giacinto ;
Falzone, Alberto ;
La Rocca, Giuseppe ;
Milanesi, Luciano ;
Maggi, Giorgio Pietro ;
Vicario, Saverio .
BMC BIOINFORMATICS, 2009, 10
[7]  
Baud JP, 2005, 14TH IEEE INTERNATIONAL SYMPOSIUM ON HIGH PERFORMANCE DISTRIBUTED COMPUTING, PROCEEDINGS, P91
[8]   Beyond the Data Deluge [J].
Bell, Gordon ;
Hey, Tony ;
Szalay, Alex .
SCIENCE, 2009, 323 (5919) :1297-1298
[9]  
Brook N., 2003, P COMP HIGH EN NUCL, P1
[10]   Cyberinfrastructure: Empowering a "third way" in biomedical research [J].
Buetow, KH .
SCIENCE, 2005, 308 (5723) :821-824