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The National e-Science Centre and UK e-Science Programme Muffy Calder University of Glasgow http: //www.nesc.ac.uk Muffy.

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Presentation on theme: "The National e-Science Centre and UK e-Science Programme Muffy Calder University of Glasgow http: //www.nesc.ac.uk Muffy."— Presentation transcript:

1 The National e-Science Centre and UK e-Science Programme Muffy Calder University of Glasgow http: //www.nesc.ac.uk http://www.dcs.gla.ac.uk/~muffy Muffy Calder University of Glasgow http: //www.nesc.ac.uk http://www.dcs.gla.ac.uk/~muffy

2 An overview E-Science –challenges and opportunities Grid computing –challenges and opportunities Activities –UK and international –Scotland and National e-Science Centre E-Science –challenges and opportunities Grid computing –challenges and opportunities Activities –UK and international –Scotland and National e-Science Centre

3 e-Science ‘e-Science is about global collaboration in key areas of science, and the next generation of infrastructure that will enable it.’ ‘e-Science will change the dynamic of the way science is undertaken.’ John Taylor Director General of Research Councils Office of Science and Technology ‘e-Science is about global collaboration in key areas of science, and the next generation of infrastructure that will enable it.’ ‘e-Science will change the dynamic of the way science is undertaken.’ John Taylor Director General of Research Councils Office of Science and Technology

4 The drivers for e-Science More data –instrument resolution and laboratory automation –storage capacity and data sources More computation –computations available, simulations doubling every year Faster networks –bandwidth –need to schedule More interplay and collaboration –between scientists, engineers, computer scientists etc. –between computation and data More data –instrument resolution and laboratory automation –storage capacity and data sources More computation –computations available, simulations doubling every year Faster networks –bandwidth –need to schedule More interplay and collaboration –between scientists, engineers, computer scientists etc. –between computation and data

5 The drivers for e-Science Exploration of data and models –in silico discovery Floods of public data –gene sequence doubling every 9 months –Searches required doubling every 4-5 months In summary Shared data, information and computation by geographically dispersed communities. Exploration of data and models –in silico discovery Floods of public data –gene sequence doubling every 9 months –Searches required doubling every 4-5 months In summary Shared data, information and computation by geographically dispersed communities.

6 Current model: ad-hoc client- server HPC Analysis Storage Analysis Experiment Computing HPC Scientist

7 The vision: computation & information utility M ID L E W A R E Experiment Computing Storage Analysis Scientist

8 e-Science Examples Bioinformatics/Functional genomics Collaborative Engineering Medical/Healthcare informatics Earth Observation Systems (flood monitoring) TeleMicroscopy Virtual Observatories Robotic Telescopes Particle Physics at the LHC –EU DataGrid particle physics, biology & medical imaging, Earth observation –GridPP, ScotGrid –AstroGrid Bioinformatics/Functional genomics Collaborative Engineering Medical/Healthcare informatics Earth Observation Systems (flood monitoring) TeleMicroscopy Virtual Observatories Robotic Telescopes Particle Physics at the LHC –EU DataGrid particle physics, biology & medical imaging, Earth observation –GridPP, ScotGrid –AstroGrid

9 Lift Capabilities Drag Capabilities Responsiveness Deflection capabilities Responsiveness Thrust performance Reverse Thrust performance Responsiveness Fuel Consumption Braking performance Steering capabilities Traction Dampening capabilities Crew Capabilities - accuracy - perception - stamina - re-action times - SOP’s Engine Models Airframe Models Wing Models Landing Gear Models Stabilizer Models Human Models Multi-disciplinary Simulations Whole system simulations are produced by coupling all of the sub-system simulations

10 Multi-disciplinary Simulations Virtual National Air Space VNAS GRC Engine Models LaRC Airframe Models Landing Gear Models ARC Wing Models Stabilizer Models Human Models FAA Ops Data Weather Data Airline Schedule Data Digital Flight Data Radar Tracks Terrain Data Surface Data 22,000 Commercial US Flights a day 50,000 Engine Runs 22,000 Airframe Impact Runs 132,000 Landing/ Take-off Gear Runs 48,000 Human Crew Runs 66,000 Stabilizer Runs 44,000 Wing Runs Simulation Drivers (Being pulled together under the NASA AvSP Aviation ExtraNet (AEN) Many aircraft, flight paths, airport operations, and the environment are combined to get a virtual national airspace US National Air Space Simulation Environment

11 Global in-flight engine diagnostics in-flight data airline maintenance centre ground station global network eg SITA internet, e-mail, pager DS&S Engine Health Center data centre Distributed Aircraft Maintenance Environment: Universities of Leeds, Oxford, Sheffield &York

12 LHC computing Tier2 Centre ~1000 PCs Online System Offline Farm ~20,000 PCs CERN Computer Centre >20,000 PCs RAL Regional Centre US Regional Centre French Regional Centre Italian Regional Centre Institute Institute ~200 PCs Workstations ~100 MByte/sec 100 - 1000 Mbit/sec one bunch crossing per 25 ns 100 triggers per second each event is ~1 MByte physicists work on analysis “channels” each institute has ~10 physicists working on one or more channels data for these channels is cached by the institute server Physics data cache ~PByte/sec ~ Gbit/sec or Air Freight Tier2 Centre ~1000 PCs ~Gbit/sec Tier 0 Tier 1 Tier 3 Tier 4 assumes PC = ~ 25 SpecInt95 ScotGRID++ ~1000 PCs Tier 2

13 Emergency response teams bring sensors, data, simulations and experts together –wildfire: predict movement of fire & direct fire-fighters –also earthquakes, peacekeeping forces, battlefields,… bring sensors, data, simulations and experts together –wildfire: predict movement of fire & direct fire-fighters –also earthquakes, peacekeeping forces, battlefields,… Los Alamos National Laboratory: wildfireNational Earthquake Simulation Grid

14 Earth observation ENVISAT –€ 3.5 billion –400 terabytes/year –700 users ENVISAT –€ 3.5 billion –400 terabytes/year –700 users ground deformation prior to a volcano

15 To achieve e-Science we need…

16

17 Grid the vision Computing resources Data Knowledge Instruments People Solution Complex problem GRID

18 The Grid Computing cycles, data storage, bandwidth and facilities viewed as commodities. –like the electricity grid Software and hardware infrastructure to support model of computation and information utilities on demand. –middleware An emergent infrastructure –delivering dependable, pervasive and uniform access to a set of globally distributed, dynamic and heterogeneous resources. Computing cycles, data storage, bandwidth and facilities viewed as commodities. –like the electricity grid Software and hardware infrastructure to support model of computation and information utilities on demand. –middleware An emergent infrastructure –delivering dependable, pervasive and uniform access to a set of globally distributed, dynamic and heterogeneous resources.

19 The Grid Supporting computations with differing characteristics: Highthroughput –Unbounded, robust, scalable, use otherwise idle machines On demand –short-term bounded, hard timing constraints Data intensive –computed, measured, stored, recalled, e.g. particle physics Distributed supercomputing –classical CPU and memory intensive Collaborative –mainly in support of hhi, e.g. access grid Supporting computations with differing characteristics: Highthroughput –Unbounded, robust, scalable, use otherwise idle machines On demand –short-term bounded, hard timing constraints Data intensive –computed, measured, stored, recalled, e.g. particle physics Distributed supercomputing –classical CPU and memory intensive Collaborative –mainly in support of hhi, e.g. access grid

20 Grid Data Generated by sensor From a database Computed on request Measured on request Generated by sensor From a database Computed on request Measured on request

21 Grid Services Deliver bandwidth, data, computation cycles Architecture and basic services for –authentication –authorisation –resource scheduling and coscheduling –monitoring, accounting and payment –protection and security –quality of service guarantees –secondary storage –directories –interoperability –fault-tolerance –reliability Deliver bandwidth, data, computation cycles Architecture and basic services for –authentication –authorisation –resource scheduling and coscheduling –monitoring, accounting and payment –protection and security –quality of service guarantees –secondary storage –directories –interoperability –fault-tolerance –reliability

22 But…has the emperor got any clothes on? Maybe string vest and pants: –semantic web machine understandable information on the web –virtual organisations –pervasive computing “ … a billion people interacting with a million e-businesses with a trillion intelligent devices interconnected ” Lou Gerstner, IBM (2000) Maybe string vest and pants: –semantic web machine understandable information on the web –virtual organisations –pervasive computing “ … a billion people interacting with a million e-businesses with a trillion intelligent devices interconnected ” Lou Gerstner, IBM (2000)

23 National and International Activities USA –NASA Information Power Grid –DOE Science Grid –NSF National Virtual Observatory etc. UK e-Science Programme Japan – Grid Data Farm, ITBL Netherlands – VLAM, PolderGrid Germany – UNICORE, Grid proposal France – Grid funding approved Italy – INFN Grid Eire – Grid proposals Switzerland - Network/Grid proposal Hungary – DemoGrid, Grid proposal … USA –NASA Information Power Grid –DOE Science Grid –NSF National Virtual Observatory etc. UK e-Science Programme Japan – Grid Data Farm, ITBL Netherlands – VLAM, PolderGrid Germany – UNICORE, Grid proposal France – Grid funding approved Italy – INFN Grid Eire – Grid proposals Switzerland - Network/Grid proposal Hungary – DemoGrid, Grid proposal …

24 Cambridge Newcastle Edinburgh Oxford Glasgow Manchester Cardiff Soton London Belfast DL RAL Hinxton UK e-science centres AccessGrid always-on video walls

25 National e-Science Centre Edinburgh + Glasgow Universities –Physics & Astronomy  2 –Informatics, Computing Science –EPCC £6M EPSRC/DTI + £2M SHEFC over 3 years Edinburgh + Glasgow Universities –Physics & Astronomy  2 –Informatics, Computing Science –EPCC £6M EPSRC/DTI + £2M SHEFC over 3 years e-Science Institute –visitors, workshops, co-ordination, outreach middleware development –50 : 50 industry : academia UK representation at GGF coordinate regional centres e-Science Institute –visitors, workshops, co-ordination, outreach middleware development –50 : 50 industry : academia UK representation at GGF coordinate regional centres

26 Generic Grid Middleware All e-Science Centres will donate resources to form a UK ‘national’ Grid All Centres will run same Grid Software -based on Globus*, SRB and Condor Work with Global Grid Forum (GGF) and major computing companies. *Globus – project to develop open architecture, open source Grid software, Globus toolkit 2.0 now available. All e-Science Centres will donate resources to form a UK ‘national’ Grid All Centres will run same Grid Software -based on Globus*, SRB and Condor Work with Global Grid Forum (GGF) and major computing companies. *Globus – project to develop open architecture, open source Grid software, Globus toolkit 2.0 now available.

27 How can you participate? Informal collaborations Formal collaborative LINK funded projects Attend seminars at eSI Suggest visitors for eSI Suggest themes and topics for eSI. Informal collaborations Formal collaborative LINK funded projects Attend seminars at eSI Suggest visitors for eSI Suggest themes and topics for eSI.

28 eSI forthcoming events Friday, March 15 Blue Gene Monday, March 18 IWOX: Introductory Workshop on XML Schema Tuesday, March 19 AWOX: Advanced Workshop on XML: XML Schema, Web Services and Tools Thursday, March 21 GOGO: Getting OGSA Going 1 Monday, April 8 Software Management for Grid Projects Monday, April 15 DAI: Database Access and Integration Wednesday, April 17 DBFT Meeting Monday, April 29 The Information Grid Sunday, July 21 GGF5/ HPDC11 Friday, March 15 Blue Gene Monday, March 18 IWOX: Introductory Workshop on XML Schema Tuesday, March 19 AWOX: Advanced Workshop on XML: XML Schema, Web Services and Tools Thursday, March 21 GOGO: Getting OGSA Going 1 Monday, April 8 Software Management for Grid Projects Monday, April 15 DAI: Database Access and Integration Wednesday, April 17 DBFT Meeting Monday, April 29 The Information Grid Sunday, July 21 GGF5/ HPDC11

29 Watch the web pages…. www.nesc.ac.uk Thank you! Watch the web pages…. www.nesc.ac.uk Thank you!


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