Group 7 Laura Antonelli William Bacchi Gerardo Giordano Pietro Hiram Guzzi Francisco Pinto Khalid Tijani The 3rd International Summer School on Grid Computing.

Slides:



Advertisements
Similar presentations
Building a CFD Grid Over ThaiGrid Infrastructure Putchong Uthayopas, Ph.D Department of Computer Engineering, Faculty of Engineering, Kasetsart University,
Advertisements

Prof. Natalia Kussul, PhD. Andrey Shelestov, Lobunets A., Korbakov M., Kravchenko A.
High Performance Computing Course Notes Grid Computing.
Holding slide prior to starting show. Supporting Collaborative Working of Construction Industry Consortia via the Grid - P. Burnap, L. Joita, J.S. Pahwa,
The Community Authorisation Service – CAS Dr Steven Newhouse Technical Director London e-Science Centre Department of Computing, Imperial College London.
MTA SZTAKI Hungarian Academy of Sciences Grid Computing Course Porto, January Introduction to Grid portals Gergely Sipos
MDSplus Tom Fredian MIT Plasma Science and Fusion Center.
Seminar Grid Computing ‘05 Hui Li Sep 19, Overview Brief Introduction Presentations Projects Remarks.
Final Exercise Group 9 Daniel Tiggemann Carlos Borrego Shiv Kaushal Luigi Dini Oisin Curran Eleana Asimakopoulou The 3 rd International Summer School.
3 rd International Summer School Grid July Vico Equense - Naples Giovaaaanni’s Group The 3 rd International Summer School on Grid Computing.
Group3 Results. Use Case: MS Analysis Huge number of data
MS DB Proposal Scott Canaan B. Thomas Golisano College of Computing & Information Sciences.
Massimo Cafaro GridLab Review GridLab WP10 Information Services Massimo Cafaro CACT/ISUFI University of Lecce, Italy.
Computing and Data Infrastructure for Large-Scale Science Deploying Production Grids: NASA’s IPG and DOE’s Science Grid William E. Johnston
Sergey Belov, LIT JINR 15 September, NEC’2011, Varna, Bulgaria.
Milos Kobliha Alejandro Cimadevilla Luis de Alba Parallel Computing Seminar GROUP 12.
Institut für Softwarewissenschaft - Universität WienP.Brezany 1 Toward Knowledge Discovery in Databases Attached to Grids Peter Brezany Institute for Software.
GridSphere for GridLab A Grid Application Server Development Framework By Michael Paul Russell Dept Computer Science University.
Grid Summer School’05: Group 4 R G I D W S D O M AlbertoAndrewGianluca Massimo MassimoSimoneSongkrantWansinXoan I.
Web-based Portal for Discovery, Retrieval and Visualization of Earth Science Datasets in Grid Environment Zhenping (Jane) Liu.
University of ViennaP. Brezany 1 Knowledge Discovery in Grid Datasets – Goals, Design Concepts and the Architecture Peter Brezany University of Vienna.
Globus 4 Guy Warner NeSC Training.
Kate Keahey Argonne National Laboratory University of Chicago Globus Toolkit® 4: from common Grid protocols to virtualization.
Sergey Belov, Tatiana Goloskokova, Vladimir Korenkov, Nikolay Kutovskiy, Danila Oleynik, Artem Petrosyan, Roman Semenov, Alexander Uzhinskiy LIT JINR The.
EUROPEAN UNION Polish Infrastructure for Supporting Computational Science in the European Research Space Cracow Grid Workshop’10 Kraków, October 11-13,
ISSGC 2005 Final Exercise Group 2: Nik Bessis, Michael Bury, Alfredo Buttari Simone Dalla Fina, Maurizio Nagni, Thomas Nitsche Alessandro Paolini.
© Geodise Project, University of Southampton, Data Management in Geodise Jasmin Wason, Zhuoan Jiao and Marc Molinari Engineering.
OSG End User Tools Overview OSG Grid school – March 19, 2009 Marco Mambelli - University of Chicago A brief summary about the system.
GRACE Project IST EGAAP meeting – Den Haag, 25/11/2004 Giuseppe Sisto – Telecom Italia Lab.
CI Days: Planning Your Campus Cyberinfrastructure Strategy Russ Hobby, Internet2 Internet2 Member Meeting 9 October 2007.
10/20/05 LIGO Scientific Collaboration 1 LIGO Data Grid: Making it Go Scott Koranda University of Wisconsin-Milwaukee.
GT Components. Globus Toolkit A “toolkit” of services and packages for creating the basic grid computing infrastructure Higher level tools added to this.
What is Cyberinfrastructure? Russ Hobby, Internet2 Clemson University CI Days 20 May 2008.
Future of the Server Room Tour. Ottawa Montreal Calgary Vancouver Toronto Future of Your Server Room Three Pillars of Windows Server 2008 Virtualization.
OGSA-DAI in OMII-Europe Neil Chue Hong EPCC, University of Edinburgh.
Virtual Data Grid Architecture Ewa Deelman, Ian Foster, Carl Kesselman, Miron Livny.
Cracow Grid Workshop October 2009 Dipl.-Ing. (M.Sc.) Marcus Hilbrich Center for Information Services and High Performance.
Introduction to Grid Computing Ed Seidel Max Planck Institute for Gravitational Physics
Tools for collaboration How to share your duck tales…
Scenarios for a Learning GRID Online Educa Nov 30 – Dec 2, 2005, Berlin, Germany Nicola Capuano, Agathe Merceron, PierLuigi Ritrovato
Institute For Digital Research and Education Implementation of the UCLA Grid Using the Globus Toolkit Grid Center’s 2005 Community Workshop University.
The GRelC Project: architecture, history and a use case in the environmental domain G. Aloisio - S. Fiore The Climate-G testbed is an interdisciplinary.
Commodity Grid Kits Gregor von Laszewski (ANL), Keith Jackson (LBL) Many state-of-the-art scientific applications, such as climate modeling, astrophysics,
NA-MIC National Alliance for Medical Image Computing UCSD: Engineering Core 2 Portal and Grid Infrastructure.
INFSO-RI Enabling Grids for E-sciencE OSG-LCG Interoperability Activity Author: Laurence Field (CERN)
Cyberinfrastructure What is it? Russ Hobby Internet2 Joint Techs, 18 July 2007.
GRID Overview Internet2 Member Meeting Spring 2003 Sandra Redman Information Technology and Systems Center and Information Technology Research Center National.
May 2004NTUA1 National Technical University of Athens EGEE Project 3 rd Parties Kick off Meeting, Athens, May 27-28, 2004 Dr. Costis Christogiannis Telecommunications.
Enabling e-Research in Combustion Research Community T.V Pham 1, P.M. Dew 1, L.M.S. Lau 1 and M.J. Pilling 2 1 School of Computing 2 School of Chemistry.
©2012 LIESMARS Wuhan University Building Integrated Cyberinfrastructure for GIScience through Geospatial Service Web Jianya Gong, Tong Zhang, Huayi Wu.
NeuroLOG ANR-06-TLOG-024 Software technologies for integration of process and data in medical imaging A transitional.
7. Grid Computing Systems and Resource Management
Cyberinfrastructure Overview Russ Hobby, Internet2 ECSU CI Days 4 January 2008.
Cyberinfrastructure: Many Things to Many People Russ Hobby Program Manager Internet2.
Bridging VO and the GRID (a successful experience) Giuliano Taffoni INAF - OATs Trieste Italy.
GRID ANATOMY Advanced Computing Concepts – Dr. Emmanuel Pilli.
Data Manipulation with Globus Toolkit Ivan Ivanovski TU München,
From Vision to Reality Implementing a University Web Strategy Ian Upton Corporate Web Team University of Birmingham.
ACGT Architecture and Grid Infrastructure Juliusz Pukacki ‏ EGEE Conference Budapest, 4 October 2007.
Gang Chen, Institute of High Energy Physics Feb. 27, 2012, CHAIN workshop,Taipei Co-ordination & Harmonisation of Advanced e-Infrastructures Research Infrastructures.
Grid Services for Digital Archive Tao-Sheng Chen Academia Sinica Computing Centre
Un sistema avanzato per la gestione di immagini biomedicali in ambiente GRID G. Aloisio, S. Fiore SPACI Consortium & University of Salento, Italy, Lecce.
Open Source distributed document DB for an enterprise
A. Rama Bharathi Regd. No: 08931F0040 III M.C.A
Grid Computing.
Recap: introduction to e-science
Gonçalo Borges, Mário David, Jorge Gomes
University of Technology
GRID COMPUTING PRESENTED BY : Richa Chaudhary.
Report on GLUE activities 5th EU-DataGRID Conference
Presentation transcript:

Group 7 Laura Antonelli William Bacchi Gerardo Giordano Pietro Hiram Guzzi Francisco Pinto Khalid Tijani The 3rd International Summer School on Grid Computing 2005

Khalid Tijani Pietro Hiram Guzzi Laura Antonelli Francisco Pinto Gerardo Giordano William Bacchi Code Development Search Strategy Presentation and Real World Application

GRID GRID …is bringing together : people expertise technologies enabling knowledge discovery An ant can make little… …an army of ants can make a lot!!!

Medical Imaging Reconstruction of nuclear medicine Image: Single Photon Emission Computed Tomography (SPECT) Reconstruc tion algorithm acquisition system provides a set of the projectionsForward projection process Backward reconstruction problem reconstructing a set of slices of the scanned organ (by a numerical computation)

Geographically distributed resources Raw data Acquisition system and storage resource S.Martino Hospital Genoa Computational resource University of Naples Naples Raw data Acquisition system and storage resource Careggi Hospital Florence Genoa & Naples Grid Portal DISI & ICAR- NA MDS Server ICAR- NA Computational resource ICAR-NA Naples Computational resource DISI Naples Genoa

1. Distributed and Heterogeneous Data Sources 1.1 Geographically distributed laboratories and hospitals produce a lot of data 1.2 Images can differs in format, schema, … 2. Data processing is incompatible with respect to diagnostic time 2.1 Data acquisition process introduces noise on data 2.2 Clinical diagnostic is not possible on corrupted data Principal Issues

Goals  a high performance, freely accessible medical imaging environment that allows the medical doctor to:  archive  reconstruct  process  visualize  tomographic data from any geographic location with  Internet access

grid environment Acquisition system and storage resources Grid Portal Computational resources Acquisition system and storage resources

Grid solutions Virtual Organization Virtual Organization Globus Security Infrastructure (GSI) technologies to realize a Virtual Organization which joins people and resources and allow to share data and computational resources.Globus Security Infrastructure (GSI) technologies to realize a Virtual Organization which joins people and resources and allow to share data and computational resources. Virtual Organization Membership Service (VOMS) solve the problems of granting users authorization to access the resources at VO level, providing support for group membership, roles and capabilities.Virtual Organization Membership Service (VOMS) solve the problems of granting users authorization to access the resources at VO level, providing support for group membership, roles and capabilities. Grid Portal to access resources and data Grid Portal to access resources and data OGSA-DAI for transparent access to heterogeneous dataOGSA-DAI for transparent access to heterogeneous data

Progressive Exercise We developed the clients to interact with several technologies: Java, web services and GT4 We have completed the exercises: Java Technology Web Services GT4 GT4 Cone and Cuboid Services not available

Final Exercise: Pillar Search The kind of problem to solve suggested us to use High Throughput Computing technologies. This tools weren’t available during the exercise We wanted also to use the Explorer developed during the progressive exercise, but the final exercise wasn’t based on Globus services and so we had just to use the tool given to us. We also to tried to organize all the groups to avoid searching all for the same pillars. but we would like to develop search in parallel on several parts of the surface and to gather and aggregate these results possibly in a DB for further processing. We managed to find a “GLOBUS” pillar.

Feedback Scheduled time to do Progressive Exercise, Team Work and Team building. The final task should have been Known from the beginning. The practical parts of technologies presentation should have been oriented to the construction of the solution of the final test. The group evaluation is not objective and the certificate is personal, and there should be a personal evaluation. Discussion of papers was really Interesting We Liked having lectures and practicals mixed up