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Overview of the CrossGrid Project

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1st meeting January 24, 2001, to join DataGrid. CPA9 Call ... LIP (Lisbon) J.Martins. X# Cracow Grid Workshop, November 5-6, 2001. Tasks in WP4 ... – PowerPoint PPT presentation

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Title: Overview of the CrossGrid Project


1
Overview of the CrossGrid Project
Marian Bubak Institute of Computer Science ACC
CYFRONET AGH, Kraków, Poland and Michal
Turala Institute of Nuclear Physics, Cracow,
Poland

2
Towards the CrossGrid
  • 1st meeting January 24, 2001, to join DataGrid
  • CPA9 Call
  • Extended collaboration meeting at GGF1 (March 7)
  • 23 partners
  • New type of applications
  • Proposal submitted April 22, 2001 22 partners
  • Comments of reviewers and PO
  • Negotiations October 24, 2001 21 partners
  • ...

3
CrossGrid Collaboration
Ireland TCD Dublin
Poland Cyfronet INP Cracow PSNC Poznan ICM
IPJ Warsaw
Germany FZK Karlsruhe TUM Munich USTU Stuttgart
Netherlands UvA Amsterdam
Slovakia II SAS Bratislava
Austria U.Linz
Spain CSIC Santander Valencia RedIris UAB
Barcelona USC Santiago CESGA
Greece Algosystems Demo Athens AuTh Thessaloniki
Portugal LIP Lisbon
Italy DATAMAT
Cyprus UCY Nikosia
4
Main Objectives
  • New category of Grid enabled applications
  • computing and data intensive
  • distributed
  • near real time response (a person in a loop)
  • layered
  • New programming tools
  • Grid more user friendly, secure and efficient
  • Interoperability with other Grids
  • Implementation of standards

5
CrossGrid Architecture
Interactive, Compute and Data Intensive
Applications (WP1)
Grid Application Programming Environment (WP2)
  • Interactive simulation and visualisation of a
    biomedical system
  • Flooding crisis team support
  • Distributed data analysis in HEP
  • Weather forecast and air pollution modelling
  • MPI code debugging and verification
  • Metrics and benchmarks
  • Interactive and semiautomatic performance
    evaluation tools

Grid Visualisation Kernel
HLA
Data Mining
New Grid Services and Tools (WP3)
Datagrid GriPhyN ...
  • Portals and roaming access
  • Grid resource management
  • Grid monitoring
  • Optimisation of data access

Services
Globus Middleware
Fabric Infrastructure
6
Key functionalities of applications
  • Data gathering
  • Data generators and data bases geographically
    distributed
  • Selected on demand
  • Processing
  • Needs large processing capacity on demand
  • Interactive
  • Presentation
  • Complex data require versatile 3D visualisation
  • Support interaction and feedback to other
    components

7
Why Interactive Computing?
  • Goal From Data, via Information to Knowledge
    gtPlanning and Management
  • Complexity Huge data-sets, complex processes
  • Approach Parametric exploration and sensitivity
    analyses
  • Combine raw (sensory) data with simulation
  • Person in the loop
  • Sensory interaction
  • Intelligent short-cuts

8
Common issues of applications
  • Inherently distributed applications profit from
    grid approach
  • All tasks require high performance MPI
  • 1.1 and 1.2 - interactive, near-real time
  • 1.3 and 1.4 - high throughput
  • Data mining
  • 1.3 and 1.4
  • Data discovery
  • 1.2 and 1.4

9
Example medical application
10
Architecture
11
Distributed Data Analysis in HEP
  • Complementarity with DataGrid HEP application
    package
  • Crossgrid will develop interactive final user
    application for physics analysis, will make use
    of the products of non-interactive simulation
    data-processing preceeding stages of Datagrid
  • Apart from the file-level service that will be
    offered by Datagrid, Crossgrid will offer an
    object-level service to optimise the use of
    distributed databases
  • -Two possible implementations (will be tested in
    running experiments)
  • Three-tier model accesing OODBMS or O/R DBMS
  • More specific HEP solution like ROOT.
  • User friendly due to specific portal tools

12
Distributed Data Analysis in HEP
  • Several challenging points
  • Access to large distributed databases in the
    Grid.
  • Development of distributed data-mining
    techniques.
  • Definition of a layered application structure.
  • Integration of user-friendly interactive access.
  • Focus on LHC experiments (ALICE, ATLAS, CMS and
    LHCb)

13
WP2 - Grid Application Programming Environments
  • Objectives
  • specify
  • develop
  • integrate
  • test
  • tools that facilitate the development and tuning
    of parallel distributed
  • high-performance and high-throughput computing
    applications on Grid infrastructures

14
WP2 - Grid Application Programming Environments
Six Tasks in WP2 2.0 Co-ordination and
Management 2.1 Tools requirement definition
2.2 MPI code debugging and verification 2.3
Metrics and benchmarks 2.4 Interactive and
semiautomatic performance evaluation tools 2.5
Integration, testing and refinement
15
WP2 - Components and relations to other WPs
16
WP3 Objectives
  • Tools for development of interactive compute- and
    data-intensive applications
  • To address user-friendly Grid environments
  • To simplify the applications and Grid access by
    supporting the end user
  • To achieve a reasonable trade-off between
    resource usage efficiency and application speedup
  • To support management issues while accessing
    resources

17
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18
Testbed Organisation (WP4)
  • Testbed setup and incremental evolution
  • from several local testbeds to fully integrated
    one
  • Integration with DataGrid
  • common design, environment for HEP applications
  • Infrastructure support
  • flexible fabric management tools and network
    support
  • Verification and quality control
  • reliability of the middleware and network
    infrastructure

19
CrossGrid WP4 - International Testbed Organisation
Partners in WP4 WP4 lead by CSIC (Spain)
20
WP4 - International Testbed Organisation
  • Tasks in WP4
  • 4.0 Coordination and management
  • (task leader J.Marco, CSIC, Santander)
  • Coordination with WP1,2,3
  • Collaborative tools (webvideoconfrepository)
  • Integration Team
  • 4.1 Testbed setup incremental evolution
  • (task leaderR.Marco, CSIC, Santander)
  • Define installation
  • Deploy testbed releases
  • Trace security issues
  • Testbed site responsibles
  • CYFRONET (Krakow) A.Ozieblo
  • ICM(Warsaw) W.Wislicki
  • IPJ (Warsaw) K.Nawrocki
  • UvA (Amsterdam) D.van Albada
  • FZK (Karlsruhe) M.Kunze
  • IISAS (Bratislava) J.Astalos
  • PSNC(Poznan) P.Wolniewicz
  • UCY (Cyprus) M.Dikaiakos
  • TCD (Dublin) B.Coghlan
  • CSIC (Santander/Valencia) S.Gonzalez
  • UAB (Barcelona) G.Merino
  • USC (Santiago) A.Gomez
  • UAM (Madrid) J.del Peso
  • Demo (Athenas) C.Markou
  • AuTh (Thessaloniki) D.Sampsonidis
  • LIP (Lisbon) J.Martins

21
WP4 - International Testbed Organisation
  • Tasks in WP4
  • 4.2 Integration with DATAGRID (task leader
    M.Kunze, FZK)
  • Coordination of testbed setup
  • Exchange knowledge
  • Participate in WP meetings
  • 4.3 Infrastructure Support (task leader J.Salt,
    CSIC, Valencia)
  • Fabric management
  • HelpDesk
  • Provide Installation Kit
  • Network support
  • 4.4 Verification quality control (task leader
    J.Gomes, LIP)
  • Feedback
  • Improve stability of the testbed

22
Technical Coordination
  • Merging of requirements
  • Specification and refinement of the GrossGrid
    architecture (protocols, APIs HLA, CCA ...)
  • Establishing standard operational procedures
  • repository acces procedures
  • problem reporting mechanism
  • handling changed requests mechanism
  • release preparation procedure
  • Specification of the structure of deliverables
  • Approach rapid prototyping and iterative
    engineering

23
Project Phases
M 4 - 12 first development phase design, 1st
prototypes, refinement of requirements
M 25 -32 third development phase complete
integration, final code versions
M 33 -36 final phase demonstration and
documentation
M 1 - 3 requirements definition and merging
M 13 -24 second development phase integration
of components, 2nd prototypes
24
Clustering with Projects
  • Objective exchange of
  • information
  • software components
  • Our partners
  • DATAGRID
  • DATATAG
  • GRIDLAB
  • EUROGRID and GRIP
  • GRIDSTART
  • Participation in GGF

25
Expected Results of the CrossGrid
  • Grid enabled interactive applications
  • Elaborated methodology
  • Generic application architecture
  • New programming tools
  • New Grid services
  • Extension of the Grid in Europe and to new
    virtual organisations

26
Dissemination Exploitation
  • Methods software developed will be available to
    scientific community
  • Each collaboration partner
  • topic conferences, GGF, national Grid initiatives
  • MSc, PhD and lectures on Grid technology
  • Centralised
  • CrossGrid vortal
  • workshops, seminars, user/focus groups
  • newsletter, brochures
  • industrial deployment

27
Overall Links between WPs and Tasks
1.0 Coordination
2.0 Coordination
3.0 Coordination
5.1 Coordination Management
1.1-1.4 Applications
2.1 Requirements
3.1-3.4 Services
5.2 Architecture Team
2.2-2.4 Tools
5.3 Dissemination Exploitation
2.5 Tests
3.5 Tests
4.0 Coordination
4.2 Integration with DataGrid
4.1, 4.3, 4.4 Testbeds
GGF DataGrid Other Grid
Projects
28
Ready to start January 1, 2002
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