Cyberinfrastructure and the transformation of science education and engineering
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Cyberinfrastructure and the Transformation of Science, Education and Engineering. Tony Hey Director of UK e-Science Core Program [email protected] J.C.R.Licklider’s Vision .

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Cyberinfrastructure and the transformation of science education and engineering l.jpg

Cyberinfrastructure and the Transformation of Science, Education and Engineering

Tony Hey

Director of UK e-Science Core Program

[email protected]

J c r licklider s vision l.jpg
J.C.R.Licklider’s Vision Education and Engineering

“Lick had this concept of the intergalactic network which he believed was everybody could use computers anywhere and get at data anywhere in the world. He didn’t envision the number of computers we have today by any means, but he had the same concept – all of the stuff linked together throughout the world, that you can use a remote computer, get data from a remote computer, or use lots of computers in your job. The vision was really Lick’s originally.”

Larry Roberts – Principal Architect of the ARPANET

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A Definition of e-Science Education and Engineering

‘e-Science is about global collaboration in key areas of science, and the next generation of infrastructure that will enable it.’

John Taylor

Director General of Research Councils

Office of Science and Technology

  • Purpose of e-Science initiative is to allow scientists to do faster, different, better research

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The e-Science Paradigm Education and Engineering

  • The Integrative Biology Project involves the University of Oxford (and others) in the UK and the University of Auckland in New Zealand

  • Models of electrical behaviour of heart cells developed by Denis Noble’s team in Oxford

  • Mechanical models of beating heart developed in Auckland

  • Need to be able to build a ‘Virtual Organisation’ allowing routine access for researchers to specific resources in the UK and New Zealand

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e-Infrastructure/Cyberinfrastructure Education and Engineeringfor Research

Common Fabric



Group A




Group B



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Grids in Education Education and Engineering

  • Education is a classic distributed organization

  • New multi-disciplinary curricula require distributed experts interacting with mentors and students

  • Education requires rich integration of data sources with people and computing

  • Grids will ‘democratize’ resources enabling universal and ubiqitous access

  • Learning Management systems such as WebCT, Blackboard, Placeware, WebEx and Groove all have natural Gridimplementations

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R1 Education and Engineering


Enterprise Grid

Dynamic light-weight Peer-to-peer

Collaboration Training Grid


Information Grid

Compute Grid

Campus Grid


Overlapping Heterogeneous

Dynamic Grid Islands

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Grid Middleware Infrastructure Education and Engineering

  • Global e-Science Infrastructure must support genuine needs of users/applications

  • To support ‘routine’ collaboration between institutions in different countries need set of robust middleware services and agreed‘policies’

  • Require global Authentication, Authorization and Accounting (AAA) Services

  • Need robust and secure middleware services supported on top of network services

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Global Terabit Research Network Education and Engineering

The Grid software and resources run on top of

high performance global networks

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First Phase: 2001 –2004 Education and Engineering

Application Projects


All areas of science and engineering

Core Programme

£15M OST

£20M DTI Collaborative industrial projects

Second Phase: 2003 –2006

Application Projects


All areas of science and engineering

Core Programme

£16M OST

DTI Technology Fund

UK e-Science Funding

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Steve Lloyd Tony Doyle Education and Engineering

John Gordon

GridPP Presentation to PPARC Grid Steering Committee

26 July 2001

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Powering the Virtual Universe Education and Engineering, Belfast, Cambridge, Leicester, London, Manchester, RAL)

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.

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)”

p13 Printed: 10/03/2014

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Comb- Education and Engineeringe-Chem Project









Grid Middleware

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DAME Project Education and Engineering

In flight data

Global Network

eg: SITA

Ground Station


DS&S Engine Health Center

Maintenance Centre

Internet, e-mail, pager

Data centre

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GEODISE Project Education and Engineering

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Computational science Education and Engineering

  • Molecular dynamics

  • Mesoscale modelling

  • High throughput experiments

  • High performance visualization

  • Computational steering

  • Terascale parallel computing

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myGrid Project Education and Engineering

  • Imminent ‘deluge’ of data

  • Highly heterogeneous

  • Highly complex and inter-related

  • Convergence of data and literature archives

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KEGG Education and Engineering




Execute distributed annotation workflow









Editor & Visualisation

Discovery Net Project

Nucleotide Annotation Workflows

Download sequence from Reference Server

Save to Distributed AnnotationServer

  • 1800 clicks

  • 500 Web access

  • 200 copy/paste

  • 3 weeks work

    in 1 workflow and few second execution

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BioSim Grid Education and Engineering




Sansom et al. (2000) Trends Biochem. Sci. 25:368

  • An e-science challenge – non-trivial

  • NASA IPG as a possible paradigm

  • Need to integrate rigorously if to deliver accurate & hence biomedically useful results

Noble (2002) Nature Rev. Mol. Cell.Biol. 3:460

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GENIE: Delivering e-Science to the environmental scientist Education and Engineering

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MIAS Devices Project Education and Engineering

  • Easy Plug and Play of Sensors

  • Wireless connection using 802.11

  • Positioning information from GPS

  • Mobile medical technologies on a distributed Grid

Sensor bus

GPS ariel

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eDiamond Education and Engineering

Applications of SMF

Teleradiology and QC VirtualMammo

Training and Differential Diagnosis “Find one like it”


Advanced CAD SMF-CAD workstation

Epidemiology SMFcomputed breast density

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e-Science Core Program (CP) Education and Engineering

Overall Rationale: Four major functions of CP

  • Assist development of essential, well-engineered, generic, Grid middleware usable by both e-scientists and industry

  • Provide necessary infrastructure support for UK e-Science Research Council projects

  • Collaborate with the international e-Science and Grid communities

  • Work with UK industry to develop industrial-strength Grid middleware

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Support for e-Science Projects Education and Engineering

  • Grid Support Centre in operation

    • supported Grid middleware & users

    • see

  • National e-Science Institute

    • Research Seminars

    • Training Programme

    • See

  • e-Science Certificate Authority

    • Issue digital certificates for projects

    • Goal is ‘single sign-on'

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UK e-Science Grid Education and Engineering














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Access Grid – Group Conferencing Education and Engineering

All UK e-Science Centres have AG rooms

Widely used for technical and management meetings

Multi-site group-to-group conferencing system

Continuous audio and video contact with all participants

Globally deployed

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e-Science Centres of Excellence Education and Engineering

  • Birmingham/Warwick – Modelling

  • Bristol – Media

  • UCL – Networking

  • Leeds, York, Sheffield - White Rose Grid

  • Lancaster – Social Science

  • Leicester – Astronomy

  • Reading - Environment

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UK e-Science Grid: Second Phase OGSA Grid Education and Engineering














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SuperJANET4 Education and Engineering

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Networking Research Projects Education and Engineering

GRS, GRID resource management

GRID Infrastructure

FutureGRID, P2P architecture

Service Infrastructure

GridMcast, Multicast-enabled data distribution

Network Infrastructure

MB-NG, QoS Features

GRIDprobe, backbone passive monitoring at 10Gbps

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UKLight Education and Engineering

  • Infrastructure to support the UK part of an International facility – the Global Lambda Integrated Facility - for Network R&D

    • e.g. international Gigabit ethernet ‘channels’

  • An example of the kind of infrastructure which might be incorporated in to SuperJANET5

  • Implemented with:

    • Telco Wavelength services

    • Multiplexed channels (SDH) to carry Gigabit ethernet

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Local Research Equipment Education and Engineering

UK Researchers

International Point-of-Access

Extended JANETDevelopment Network

Existing connections
















UKLight – showing connections to selected International peer facilities

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The UK Grid Experience: Phase 1 Education and Engineering

  • UK Programme on Grids for e-Science

    • £75M for e-Science Applications

  • UK Grid Core Programme for Industry

    • £35M for collaborative industrial R&D

  • Over 80 UK companies participating

  • Over £30M industrial contributions

    • Engineering, Pharmaceutical, Petrochemical

    • IT companies, Commerce, Media

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e-Science CP – Next Steps Education and Engineering

Deploy ‘production National Grid Service’ based on four dedicated JISC nodes plus the two UK Supercomputer Facilities

  • Develop operational policies, security, …

  • Gain experience with genuine user


    Develop ‘OGSA’ based e-Science Grid

  • Based on two OGSA Grid projects and

    e-Science Centres

  • Work with EGEE project

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Research Prototype Middleware to Production Quality Education and Engineering

  • Research projects are not funded to do the regression testing, configuration and QA required to produce production quality middleware

  • Common rule of thumb (Brooks) is that it requires at least 10 times more effort to take ‘proof of concept’ research software to production quality

  • Key issue for UK e-Science projects is to ensure that there is some documented, maintainable, robust grid middleware by the end of the 5 year £250M initiative

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Open Grid Services Architecture Education and Engineering

  • Development of Web Services

  • OGSA and WSRF will provide

    Naming /Authorization / Security / Privacy/…

  • Projects looking at higher level services: Workflow, Transactions, DataMining, Knowledge Discovery…

  • Exploit Synergy: Commercial Internet with Grid Services

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The Key Problem: Research Prototype Middleware to Production Quality

  • Research projects are not funded to do the regression testing, configuration and QA required to produce production quality middleware

  • Common rule of thumb is that it requires at least 10 times more effort to take ‘proof of concept’ research software to production quality

  • Key issue for UK e-Science projects is to ensure that there is some documented, maintainable, robust grid middleware by the end of the 5 year £250M initiative

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The UK Open Middleware Infrastructure Institute (OMII) Quality

  • Repository for UK-developed Open Source ‘e-Science/Cyber-infrastructure’ Middleware

  • Documentation, specification,QA and standards

  • Fund work to bring ‘research project’ software up to ‘production strength’

  • Fund Middleware projects for identified ‘gaps’

  • Work with US NSF, EU Projects and others

  • Supported by major IT companies

  • Southampton selected as the OMII site

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Digital Curation Centre (DCC) Quality

  • In next 5 years e-Science projects will produce more scientific data than has been collected in the whole of human history

  • In 20 years can guarantee that the operating and spreadsheet program and the hardware used to store data will not exist

    • Research curation technologies and best practice

    • Need to liaise closely with individual research communities, data archives and libraries

  • Edinburgh with Glasgow, CLRC and UKOLN selected as site of DCC

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The UK ‘Dual Support’ System Quality

UK Government provides two streams of public funding for university research:

  • Funding provided to the universities for research infrastructure – salaries of permanent academic staff, premises, libraries & central computing costs

  • Funding from the Research Councils for specific projects – in response to proposals submitted & approved through peer review

  • This ‘Well Founded Laboratory’ concept needs to be extended to support ‘virtual laboratories’

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    Initial Research Infrastructure Portfolio Quality

    • Prototype ‘National Grid Service’ based on dedicated Compute and Data Clusters

    • Semantic Grid development projects

    • AccessGrid Support Service

    • e-Social Science Training material

    • Intelligent Text Mining Service for Biosciences

    • Digital Curation Centre

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    New Research Infrastructure Funding Quality

    • £3M for Security Development Projects

      • Combine Shibboleth with PERMIS Authorization Services

      • Joint project with NSF Internet2 NMI project on Security Services for ‘Virtual Organizations’

    • £2M+ for Identified JCSR Topics

      • Data Handling, Visualization, Knowledge Management, Collaborative Tools, Human Factors

      • New ‘Grids for Education’ program?

    • £3M for ‘Collaborative e-Research Environments’

      • Data Analysis and Visualization Centres?

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    New Research Infrastructure Funding 2 Quality

    • £3.4M for ‘National Middleware Services’

      • Deployment of NationalAuthentication Framework based on Shibboleth

      • Provide support Digital Library and e-Science communities

    • Goal is to develop global AAA infrastructure

      - Australia and Switzerland exploring this route

      • Work with US NMI and EU EGEE projects

      • Work with Internet2, TERENA and the NRENs

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    What is Shibboleth? Quality

    An architecture developed by the Internet2 middleware community

    • NOT an authentication scheme (relies on home site infrastructure to do this)

    • NOT an authorisation scheme (leaves this to the resource owner)

    • BUT an open, standards-based protocol for securely transferring attributes between home site and resource site

    • Also provided as an open-source reference software implementation

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    UK e-Science Timeframes Quality

    2001 2002 2003 2004 2005 2006 2007

    SR2000 * * *

    SR2002 * * *

    SR2004 * * *

    SJ5/AAA Service * *

    LHC/LCG *

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    e-Science Infrastructure beyond 2006 Quality

    • Persistent UK e-Science Research Grid

    • Grid Operations Centre

    • Open Middleware Infrastructure Institute

    • National e-Science Institute

    • Digital Curation Centre

    • AccessGrid Support Service

    • e-Science/Grid Legal Service

    • International Standards Activity

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    Cyberinfrastructure Qualityand Universities

    ‘e-Science will change the dynamic ofthe way science is undertaken.’

    John Taylor, 2001

    • Need to break down the barriers between the Victorian ‘bastions’ of science – biology, chemistry, physics, ….

    • Problems with tenure and publications

    • Develop ‘permeable’ structures that promote rather than hinder multidisciplinary collaboration

    • Need to engage University IT Service Departments – Computing, Library, ..

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    A Definition of the Grid Quality

    ‘[The Grid] intends to make access to computing power, scientific data repositories and experimental facilities as easy as the Web makes access to information.’

    Tony Blair, 2002