The “Information Analysis and Management” (IAM) is a consortium of teams that will contribute to the construction of a network for data storage and information processing. Instead of building yet other dedicated facilities, the IAM node will use already existing data storage and information processing facilities (LaTIM, Brest; CREATIS Lyon, CIC-IT Nancy; Visages U746 INRIA Rennes; CATI CEA Saclay; LSIIT/Icube Strasbourg) that will increase their capacities for the FLI infrastructure. Inter-connections and access to services will be achieved through a dedicated software platform that will be developed based on the expertise gained through successful existing developments (BrainVisa CEA Saclay, MedINRIA Asclepios INRIA Sophia-Antipolis, Neurolog Modalis I3S Sophia-Antipolis, etc.) and of highly specialized SME (eg Keosys or MaatG
The IAM node has several goals. It aims first at building a versatile facility for data management that will inter-connect the data production sites and data processing for which state-of-the-art solutions, hardware and software, will be available to infrastructure users. Modular solutions are preferred to accommodate the large variety of modalities acquisitions, scientific problems, data size, and adapted for future challenges. Second, it aims at offering the latest development that will be made available to image processing research teams.
Through web services, the software platform will offer the users with (a) transfer, storage, access control, indexing and retrieval of data produced at distributed sites, (b) integration and management of data processing plug-ins, (c) building, description and sharing of workflows, and (d) workflow deployment on high performance computing facilities to process large databases. Hardware facilities will enable workflows to scale up from pilot studies to clinical studies on cohorts.
Through web services, the IAM node will provide the users with (a) transfer, storage, access control, indexing and retrieval of data produced at distributed sites, (b) integration and management of data processing plug-ins, (c) building, description and sharing of workflows, and (d) workflow deployment on high performance computing facilities to process large databases. Hardware facilities will enable workflows to scale up from pilot studies to clinical studies on cohorts.
The hardware part of the “Information Analysis and Management” node is distributed over several physical locations that offer either storage or computing facilities: Brest, Lyon, Nancy, Nancy, Rennes, Saclay, and Strasbourg, while the software counterpart involves teams from other locations (Sophia-Antipolis, Grenoble, Lyon, etc..) and highly specialized SME (eg Keosys, MaatG). The aim of the project is to build a distributed and scalable platform for both data management and information processing. State-of-the-art developments will be easily integrated through a modular architecture, allowing users to define adapted and adaptable workflow on personal computers. This modular architecture will allow to deploy the same workflow on high-performance computing devices (clusters, grids, clouds) to process large databases, and to share it with other users to define processing standards. The offered services are complementary to IPDM[1] node of “France Bio Imaging” infrastructure and will find straightforward applications with cohort studies (e.g. OFSEP). To ensure coherency for further cooperation (shared development, computing facilities, or application related requirements). These initiatives are explained in the governance scheme.
more on the website of IAM-FLI
Equipments
Hardware facilities
Storage Facilities |
LaTIM, Brest Storage of 60To |
CIC-IT, Nancy Storage of 15To |
Rennes Storage of 150To |
CATI, Saclay Storage of 48To |
LSIIT, Strasbourg Storage of 48To |
Computing Facilities |
LaTIM, Brest Cluster of 8 nodes |
CIC-IT, Nancy, cluster of 128 nodes |
CREATIS Lyon Cluster of 40 nodes |
CATI, Saclay Cluster of 18 nodes |
LSIIT, Strasbourg Cluster of 104 nodes |
Existing softwares
Moteur |
Workflow manager (grids and clusters) modalis.polytech.unice.fr/moteur2[2] |
jGASW |
Application wrapper modalis.polytech.unice.fr/jgasw[3] |
Shanoir |
Data Storage Platform www.shanoir.org/ |
BrainVisa |
Plugins and image processing pipeline brainvisa.info/index.html[4] |
MedINRIA |
Plugins and image processing pipeline www-sop.inria.fr/asclepios/software/MedINRIA[5] |
Teams
The teams listed here may be involved in this node either because they manage a hardware facilities (storage and/or cluster) or they belong to a known consortium working on topics of interests, or individually have an identified added-value for the node.
Consortia based on common interests for the node are for instance: CATI (Image Processing and Acquisition Center, initiated by “Plan Alzheimer”), BrainVisa (Image Processing ToolBox), MedINRIA (Image Processing ToolBox), teams from past Neurolog project (Software technologies for integration of process, data and knowledge in medical Imaging) or VIP projects (workflow execution service on clusters and grid resources). National initiatives of interest are for instance MediPy, Shanoir.
Partners |
Team leader |
Web site |
Expertise and contributions |
INSERM U650, LaTIM (Brest) |
D. Visvikis |
data storage, computing facilities |
|
CREATIS, CNRS/INSERM/INSA/ Université de Lyon (Lyon) |
I. I. Magnin |
data storage, computing facilities |
|
CIC IT CIT801 (Nancy) |
J. Felblinger |
data storage, computing facilities |
|
Neurinfo,Visages U746 (Rennes) |
C. Barillot |
http://www.neurinfo.org/index |
data storage |
CATI, CEA (Saclay) |
JF Mangin |
data storage, computing facilities |
|
LSIIT/ICube (Strasbourg)[6] |
F. Heitz |
data storage, computing facilities |
|
Cluster/Grid teams[7] |
J. Montagnat |
http://modalis.i3s.unice.fr/start http://neurosciences.ujf-grenoble.fr |
|
Database teams[8] |
C. Barillot |
||
Workflow teams[9] |
Y Cointepas |
http://www.univ-tln.fr/article.php3?id_article=1791 http://www.creatis.insa-lyon.fr/site/ http://perso.telecom-paristech.fr http://www.ltci.telecom-paristech.fr/ |