Diapositiva 1

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Transcript Diapositiva 1

neuGRID PROJECT:
A PRACTICAL EXAMPLE OF RESEARCH
THROUGH THE GARR
THE CONSORTIUM
National Alzheimer’s Centre Fatebenefratelli, Brescia, ITALY
GB Frisoni, Coordinator
University of the West of England, Bristol, UK
Richard McClatchey, Technical Supervisor
Karolinska institutet, SWEDEN
Lars-Olof Wahlund
Vrije Universiteit Medical Centre, THE NETHERLANDS
Frederik Barkhof
Prodema GmbH, SWITZERLAND
Christian Spenger, Alex Zijdenbos
Maat Gknowledge SL, SPAIN
David Manset
HealthGrid, FRANCE
Yannick Legré, Tony Solomonides
CF consulting s.r.l., ITALY
Carla Finocchiaro
OBJECTIVE
COMPUTATIONAL
CENTRE
TOMORROW
neuGRID
neuGRID’s OBJECTIVE
To develop a grid-based
environment for the
collection/archiving of large
amounts of imaging data paired
with computationally intensive
data analysis tools (testbed
cortical thickness extraction)
ACTION PLAN
Phase 3
Phase 2
Completion
M36
Deployment
M24
Phase 1
Foundation
M12
neuGRID Infrastructure
A Layered Infrastructure
Data Coordination
Centre - DCC
Infrastructure Ground Truth (Grid and Data
Coordination Centers – Core Services)
Grid Coordination
Centre - GCC
Virtual Database
Physical Resources (Data Storage +
Compute Power)
Data Archiving &
Computing Site –
DACS
End-Users (Accessing infrastructure through web
portal) and CoreLabs (Data Acquisition)
...
Data Collection
Site – DCS
...
neuGRID Infrastructure
A Layered Infrastructure
Expected infrastructure of
500 Cores and 30TB of storage
fully dedicated
to neuGRID
DEPLOYED
Local clusters available in
DEPLOYED
case at
KI and VUmc
Initial Prototype – Today (2)
LoNI Pipeline
KEPLER
Gridification
Model
NeuroSciences
Algorithms /
Pipelines
neuGRID Technology
• Combination of LORIS & MammoGrid
• Grid as the technological glue
• Deployment of the Solution in relevant major centres
accross Europe
LORIS
neuGRID
MammoGrid
neuGRID Architecture
Service-Oriented Architecture
Highly Specialized
Interfaces
Common Purpose
Interfaces
Web Portal
Domain Logic
(Generic Services)
Backends Abstraction
Generic to ALL domains
(Software abstraction from databases, grid,
enactment environments...)
(can theoretically be fully reused)
Backends Middleware
(Underlying IT legacy assets, e.g. EGEE gLite, mySQL, Globus, Oracle 11g...)
Monitoring, Logging and Accounting
(can theoretically be reused in other medical applications)
(Provides the mechanisms to store, archive and sort all log
information. The layer is concerned with services which allow
efficient monitoring of all infrastructure resources)
Generic to Medical domain
Security
(Specific Services)
Workflow Management
Business Logic
(SOA Governance is in charge of defining, accessing,
executing, operating and maintaining reusable services
with appropriate quality of services and conforming
With all other requirements, e.g. Security, privacy...)
(can theoretically be partly reused in
similar projects since
abstracted from underlying IT)
(All services concerned with authentication,
Authorization within the platform)
Specific to Project
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Initial Prototype – Today (1)
Web Portal
• AJAX-based Portal
• CAS SSO Framework
• Grid Proxy Applet
• MyProxy Session
LORIS Database
LINK to the neuGRID PORTAL
• Connected to SSO
• Interfaces to Data Acq
• Interfaces to Data QC
Online Shell Access
• GSISSH Applet
• Access to Grid Infra.
• CIVET Pipeline gridified
• SFTP Facility to Upload
Related Initiatives
• CBRAIN - Canadian Brain Imaging Research Network
– Recently funded by CANARIE (Canadian Advanced Network
and Research for Industry and Education)
• UCLA LoNI – Pipeline Environment
Potential infrastructure of
• NeuroLOG
– Funded by the French ANR
6000 Cores for 200TB of storage
Offering advanced capabilities
State-of-the-art and main
Data Mining and Statistical Toolkits
As well as a wide range of
generic medical services
A Worldwide Neuroscience Network?