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Overview

UK e-Science EGEE Second Users’ Forum Dave Berry Deputy Director for Research with apologies from Malcolm Atkinson www.nesc.ac.uk 10 th May 2007. Science projects (70% of funding, Demanding drivers). e-Infrastructure (hardware, software & training).

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Overview

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  1. UK e-ScienceEGEE Second Users’ ForumDave BerryDeputy Director for Researchwith apologies fromMalcolm Atkinsonwww.nesc.ac.uk10th May 2007

  2. Science projects (70% of funding, Demanding drivers) e-Infrastructure (hardware, software & training) Communities & Breadth Overview • History of e-Science in UK > 6 years • Three Significant Strengths Established

  3. Defining e-Science • e-Science: Systematic Support for Collaborative Research using advanced ICT • Multi-disciplinary, Multi-Site & Multi-National • All disciplines contribute & benefit • Enabling wider engagement • Building on and demanding advances in Computing Science • Using advances in computing to support research, design, diagnosis • Dates back 50 years • Prevalent in branches of biology >30 years • Prevalent in Engineering for >40 years • New emphasis on collaboration, sharing & interdisciplinarity

  4. UK e-Science GGF5 Edinburgh From presentation by Tony Hey

  5. UK e-Science Diversity • Thriving Community • All disciplines & all Research Councils • Industry & Academia • Many universities & research institutes • UK e-Science All Hands Meetings • Productive collaboration

  6. e-Infrastructure • A shared resource • That enables science, research, engineering, medicine, industry, … • It will improve UK / European / … productivity • Lisbon Accord 2000 • E-Science Vision SR2000 – John Taylor • Commitment by UK government • Sections 2.23-2.25 • Always there • c.f. telephones, transport, power • OSI report • www.nesc.ac.uk/documents/OSI/index.html

  7. http://www.allhands.org.uk/index.html

  8. Edinburgh

  9. Theme 3: Adoption of e-Research Technologies Theme 4: Spatial Semantics for Automating Geographic Information Processes Theme 5: Distributed Programming Abstractions Theme 6: e-Science in the Arts and Humanities Activity Slide from Dr Anna Kenway

  10. Edinburgh Edinburgh Lancaster CCLRC Rutherford Appleton Laboratory Manchester Didcot Cardiff Westminster Bristol National Grid Service and partners Leeds York Sheffield

  11. Slide: Neil Geddes

  12. CMS LHCb ATLAS CMS GridPP GridPP www.gridpp.ac.uk

  13. Coordinated by:Directors’ Forum & NeSC e-Science Centres in the UK Digital Curation Centre Edinburgh White Rose Grid Glasgow Newcastle Access Grid Support Centre Lancaster Leicester Manchester Belfast National Centre for Text Mining National Centre for e-Social Science National Institute for Environmental e-Science Leeds York Sheffield CCLRC Daresbury Cambridge Birmingham Oxford National Grid Service Cardiff Bristol CCLRC RAL Open Middleware Infrastructure Institute Reading UCL Southampton LeSC

  14. OMII-UK nodes EPCC & National e-Science Centre School of Computer Science University of Manchester Edinburgh School of Electronics and Computer Science University of Southampton Manchester Southampton

  15. OMII-UK Software Open Source User Community Special Product Lines Community deposits Software catalogue Community software stacks Software repository OMII-BPEL Commissioned programme SE QA pipeline Workflow Portal Service registry Foreign Distributions Software spotted on safari or by Product or Area Liaisons (PALs) Data Infrastructure and Standards Community

  16. Database Research Group, School of Informatics AHRC Research Centre for Studies in Intellectual Property and Technology Law EDINA National e-Science Centre Humanities Advanced Technology and Information Institute Glasgow Rutherford Appleton (Didcot) and Daresbury (Warrington) Laboratories Warrington UKOLN (formerly UK Office for Library Networking) Didcot Bath Digital Curation Centre and partners Edinburgh

  17. Aberdeen University of Manchester University of Essex Lancaster Leeds Manchester Nottingham Oxford Colchester London Bristol National Centre for e-Social Science

  18. The NERC Success • Professor Robert Gurney • Director, Environmental Systems Science Centre, Reading • The NERC e-Science experience • 11 papers in Nature • Enthusiastic uptake of ensemble methods

  19. climateprediction.netUsers Worldwide>300,000 users total (90% MS Windows): >60,000 active~17 million model-years simulated (as of September '06)~180,000 completed simulations Impact:New Science Understanding of science Engaging schools BBC follow on The world's largest climate modelling supercomputer! (NB: a black dot is one or more computers running climateprediction.net) Slide: Robert Gurney

  20. National Institute for Environmental e-Science, University of Cambridge Cambridge Swindon Reading University of Reading NERC centres

  21. David De Roure

  22. Slide: Dave De Roure & Jeremy Frey

  23. Healthcare @ Home REFERRAL REFERRAL GPHome-mobile-clinic via PDA-laptop-PC-Paper DiabeticianHome-mobile-clinic via PDA-laptop-PC-Paper Various Clinical Specialists (Distributed) e.g. Ophthalmologist, Podiatrist, Vascular Surgeons, Renal Specialists, Wound clinic, Foot care clinic, Neurologists, Cardiologists ILLNESS REFERRAL VARIABLESACCESSMATRIX CASE PatientHome-mobile-clinic via TV-PDA-laptop-PC-Paper Diabetes Specialist / Other Specialist Nurses Home-mobile-clinic via TV-PDA-laptop-PC-Paper Dietitian Biochemist Community Nurses / Health Visitors “Wellbeing” the global-scale killer app., Sir Robin Saxby Oct. 2006

  24.  determining ion channel contribution to the timing of action potentials  resolving the ‘neural code’ from the timing of action potential activity  examining integration within networks of differing dimensions New EPSRC project. CARMENlate 2006 - 2009 http://bioinf.ncl.ac.uk/carmen/ Understanding the brain may be the greatest informatics challenge of the 21st century Source: Colin Ingram

  25. WTC Mont Blanc FireGrid Kings Cross Kobe Piper Alpha

  26. FireGrid Architecture Pre-computedscenarios Building data Primary monitoring & gateways between sensor nets & grid Routine & Initial Workflows sensor validation & calibration, building and people status & event detection Escalated WorkflowsFrom PCs to teraflops 5 People C C C Workflow selection & steering B B B A A A D D D Data-flow selection & actuation Displays from sensors and simulations E E E Sensors & Actuators Temp, CO, smoke,displacement/strain, vibration/acoustic, systems status Logging C&C View selected status displays & user control panels Personal & Team Preference data

  27. country • sites • country • sites • country • sites • Bulgaria • 3 • Greece • 3 • Romania • 1 • Croatia • 1 • Israel • 1 • Russia • 2 • Cyprus • 1 • Italy • 13 • Spain • 7 • France • 9 • Netherlands • 2 • Taiwan • 1 • Germany • 1 • Poland • 1 • UK • 10 WISDOM deployment : wisdom.eu-egee.fr Countries with nodes contributing to the data challenge WISDOM Total amount of CPU provided by EGEE federation

  28. DAME/BROADEN http://www.cs.york.ac.uk/dame/ Aircraft healthcare diagnosis • Aims to manage >1Tb per year of Aero Engine vibration and maintenance data. • Interlinks with search and reasoning services. • Defined and evaluated a distributed search system. • GSI enabled secure engine performance simulation • CBR advisor for diagnostic engineer • A data architecture defined based on Globus and SRB. • BROADEN DTI Project (£3.9M) • Spun out technology exploited through Cybula Ltd., Oxford Biosignals and DS&S. • Successful mid-term demonstrator well received by Rolls Royce • White Rose Grid: experience of building & using production Grids • In Grid Blue Print 2 edition 2 • Jim Austin (Comp Sci, York) • 4 Universities and institutes • 3 Companies Slide: Carole Goble, Jim Fleming & Jim Austin

  29. Take Home • UK e-Science investment has built threeinterdependent strengths: • Communities & collaboration • Projects delivering & demanding • e-Infrastructure: organisation, support & technology • Three success factors for projects • Engagement & value for all participants • Creativity & insight addressing a well-posed challenge • Technology adoption and innovation • Progress in research domains is the driver • Integrate whatever technology you need • Invent new technology only if you have to

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