RSC-SW-meeting-2July03 - PowerPoint PPT Presentation

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RSC-SW-meeting-2July03

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... M87: from top to bottom Chandra X-ray, HST optical, Gemini mid-IR, VLA radio. ... Picture credits: 'NASA / Chandra X-ray Observatory / Herman Marshall (MIT) ... – PowerPoint PPT presentation

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Title: RSC-SW-meeting-2July03


1
Introducing Research Grids and e-Science whats
in it for the Humanities?
Dr Liz Lyon, Director, UKOLN DRH2003 Universi
ty of Gloucestershire
2
Overview
  • Setting the context - a little bit of history
  • The UK e-Science Programme
  • Research some common challenges
  • Whats happening now?
  • Opportunities..

3
Grid computing refers to the large-scale
integration of computer systems via high speed
networks to provide on-demand access to
data-crunching capabilities and functions not
available to one individual or group of
machinesIan Foster, Scientific American April
2003
4
Grid technology enables large-scale scientific
and business collaboration among members of
virtual organizations, remote experimentation and
high-performance distributed computing and data
analysisIan Foster, Scientific American April
2003
5
The Grid 1967 2003 Part 1 With
acknowledgement to Rob Baxter (NeSC)
  • 1967 Worlds first packet-switched network
  • 1973 Ethernet demo at Xerox PARC
  • 1976 First Cray-1 super-computer
  • 1984 JANet built
  • 1988 Condor project begins earliest cycle
    scavenger or scheduler ideal tool for Grid??
  • 1991 WWW created by Tim Berners-Lee at CERN
  • 1993 Legion project launch used Grid Object
    model
  • 1994 Nimrod project launch co-ordinates tasks
    across a network
  • 1997 UNICORE project starts combined toolkit
    and portal model
  • 1997 Storage Resource Broker v1.0 client
    server middleware connecting to heterogeneous
    datasets based on attributes
  • 1998 The GRID book Foster Kesselman

6
The Grid 1967 2003 Part 2
  • 1998 Globus v1.0.0 the leading Grid toolkit
  • Defines standards for security, resource
    discovery, data access transfer, remote job
    execution
  • Layered architecture
  • Single sign-on
  • 2001 March Global Grid Forum 1
  • 2001 March Web Services IBM provided a
    sea-change in Grid thinking
  • 2001 July UK e-Science Programme Phase 1 launch
  • 2001 November GEANT activated pan-European
    gigabit network
  • 2002 February OGSADAI (Open Grid Services
    Architecture-Data Access Integration) project
    launched UK Grid Core Programme with DTI, IBM,
    Oracle partners, a marriage of Globus and Web
    Services
  • 2003 March Open Grid Services Infrastructure OGSI
    V1.0 spec
  • 2003 July UK e-Science Programme Phase 2 planning
  • 2003 September 2nd All Hands meeting in
    Nottingham tomorrow.

7
UK e-Science Programme
  • e-Science is about global collaboration in key
    areas of science and the next generation of
    infrastructure that will enable it.
  • Dr John Taylor, Director General of the Research
    Councils

8
UK e-Science Programme Phase 1 2001 - 2004
  • Professor Tony Hey, Director
  • Government funds from OST and DTI industry
    matching
  • 74M application projects
  • 35M Core Programme (CP)
  • CP managed by EPSRC for Research Councils
  • To advance the development of robust and generic
    Grid middleware in collaboration with industry
  • http//www.rcuk.ac.uk/escience/

9
UK e-Science Grid Centres of Excellence With
acknowledgement to Tony Hey
Edinburgh
Glasgow
Newcastle
DL
LancasterSocial Sciences
White Rose
Belfast
Manchester
Birmingham/Warwick Modelling
Oxford
Cambridge
Cardiff
UCL
RL
Hinxton
London
BristolMedia
Soton
10
Powering the Virtual Universehttp//www.astrog
rid.ac.uk(Edinburgh, Belfast, Cambridge,
Leicester, London, Manchester, RAL)
Picture credits NASA / Chandra X-ray
Observatory / Herman Marshall (MIT),
NASA/HST/Eric Perlman (UMBC), Gemini
Observatory/OSCIR, VLA/NSF/Eric Perlman
(UMBC)/Fang Zhou, Biretta (STScI)/F Owen (NRA)
Multi-wavelength showing the jet in M87 from top
to bottom Chandra X-ray, HST optical, Gemini
mid-IR, VLA radio. AstroGrid will provide
advanced, Grid based, federation and data mining
tools to facilitate better and faster scientific
output.



11
myGrid Project
  • Imminent deluge of data
  • Highly heterogeneous
  • Highly complex and inter-related
  • Convergence of data and literature archives
  • Virtual workbench

12
Comb-e-Chem Project
Video
Simulation
Properties
Analysis
StructuresDatabase
Diffractometer
X-Raye-Lab
Propertiese-Lab
Grid Middleware
13
What are the common challenges?
  • Research is increasingly dataintensive
  • New approaches require new skills
    (ITstatisticsdomain)
  • Inter-disciplinary e.g. Astro-informatics
  • Collaborative virtual communities
  • Knowledge-rich infrastructures development of
    ontologies, terminology servers
  • Highly distributed resource utilisation
    instruments, bibliographic collections, primary
    data

14
Resources are used in new ways
  • Spatial change
  • Federation, aggregation, dis-aggregation,
    replication, manipulation, linking, annotation,
    editing/versioning, transformation
  • Knowledge extraction
  • Analysis (textual, musical, statistical,
    mathematical, visual, chemical, gene)
  • Mining (text, data, structures)
  • Modelling (economic, mathematical, biological..)
  • Presentation (visualisation, rendering.)

15
What is happening now?
  • Planning for Core Programme 2 2003-2006
  • Digital libraries and e-Science
  • Joint UKOLN / NeSC workshops
  • Digital Curation Centre call
  • EPSRC/JISC funded projects such as eBank (with
    Combechem) see Ariadne article http//www.ariadne.
    ac.uk/issue36/lyon/
  • National Centre for Text Mining call
  • e-Social Science
  • Centre of Excellence Lancaster ESRC April 2004
  • Awareness Training Environment JISC August 2003
  • Humanities ???

16
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17
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18
Some possible applications in the humantities?
  • Complex text mining across distributed documents
    multi-lingual processing??
  • Visualisation and modelling of historically
    linked archaeological sites
  • Real-time retrieval and image analysis of
    multiple video streams news and media??
  • New distributed and collaborative performance
    scenarios
  • ?????

19
Opportunities for collaboration.
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