E-Science: Foundations
for the European Citizen
Grid2006
Barcelona
Malcolm Atkinson
Director e-Science Institute
& e-Science Envoy
www.nesc.ac.uk
28th September 2006
Overview
Celebrate Five Years of Success in UK
Three Great Strengths Established
EGEE et al. thriving in Europe
e-Science & Cyberinfrastructure everywhere
Welcome New Projects UK & EU
Doing new research
A few expert enthusiasts benefit
How do we establish e-Science
Reaching the tail
Shape e-Science & e-Infrastructure
X
X
For e-Scientists in all disciplines
For Europe’s Citizens
Defining e-Science
e-Science: Systematic Support for
Collaborative Research
Multi-disciplinary, Multi-Site & MultiNational
All disciplines contribute & benefit
Enabling wider engagement
Building with and demanding advances in
Computing Science
UK e-Science Success
Thriving Community
All disciplines & all
Research Councils
Industry & Academia
Many universities &
research institutes
UK e-Science All
Hands Meetings
Productive
collaboration
Essential Collaboration
Collaboration
Requires Commitment
and Strategy
A challenge to build and
maintain
But not
We have done it always
repeatedly
or easily
Can we capture and
clone the recipes?
Can we support it well
for all research?
For all citizens?
New Patterns of
Communication
Workshop 1: Kyra Norman and Orchestra Cube; Photo: Rob Bristow, June 2006
Slide: Angela Piccini
Workshop 1: Memetic, ILRT, Kyra Norman and Orchestra Cube; Photo: Rob
Bristow, June 2006
Slide: Angela Piccini
National Centre for e-Social Science
Aberdeen
University of Manchester
University of Essex
Lancaster
Manchester Leeds
Nottingham
Oxford
Bristol
6th September 2006
+5 years?
Colchester
London
9
Edinburgh
6th September 2006
+5 years
10
Archaeology & e-Science
Professor Michael
Fulford
Archaeology,
University of Reading
Silchester Roman
Town: the
challenges,
aspirations and
experience of
developing a VRE
for Archaeology
Enthusiastic researchers, Many interacting communities & Breadth
UK e-Science Success
Significant outputs from projects
Research results
Commercial impact
Outreach and international influence
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
climateprediction.net
Predicting Climate Change
Through Volunteer Computing
University of Oxford
Department of
Atmospheric Physics
6th September 2006
15
Slide: Robert Gurney
climateprediction.net Users 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
In silico biology
http://www.mygrid.org.uk
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Construct in silico experiments,
find and adapt others, manage
the experiment lifecycle
Taverna Workflow workbench
OGSA-DQP
Semantic Technologies
Williams-Beuren Syndrome,
Grave’s Disease,
Trypanosomiasis in cattle.
OMII-UK Node, GRIMOIRE
Registry, Taverna Workflow
workbench
12000+ Downloads of Taverna
Wide transfer to BBSRC (e-Fungi,
ISPIDER, ComparaGrid) & MRC
projects (PsyGrid, CLEF, CLEFS)
Semantic Grid pioneer
WBS gene identification
Outstanding international links
Great deal of open source s/w
Links into BOSC & HGMP
KT to BT, ComparaGrid, OntoGrid,
BBSRC Systems Biology Centre,
MIASGrid, Rice Institute etc
Middleware for data intensive in
silico biology by bioinformaticians
• Carole Goble (Comp Sci, Manchester)
• 7 Universities and institutes (incl. EBI)
• 8 Companies
Slide: Carole Goble & Jim Fleming
http://www.discovery-on-the.net/
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Design, develop and implement
an advanced infrastructure to
support real-time processing,
interpretation, integration,
visualization and mining of vast
amounts of time critical data
generated by high throughput
devices.
Data mining, text mining
Environmental monitoring,
bioinformatics
InforSense, GSK, Oracle
2003: Discovery Net in Action:
Fighting SARS in China
2002: Supercomputing 2002
Most Innovative Data Intensive
Application Award
2002: KDD CUP 2002 Scientific
Text Mining Awards
High Throughput Informatics
Scientific
Information
Literatur
e
In Real Time
Service Workflow
Real Time
Discovery
Data
Services
Scientific
Discover
y
Integration
Datab
ases
Operational
Data
Dynamic Application Integrative Knowledge
Integration
Management
Using GRID Resources
Images
Instrument
Data
Yike Guo (Comp Sci, Imperial)
•1 university
Slide: Carole Goble & Jim Fleming
SIMDAT
Workflow Warehousing and
Semantic Authoring
Impact
8 out of 10 top
Pharmas Co’s
are trying it
Slide: Yike Guo
UK-China e-Science Workshop, China
Compute resources ondemand
http://www.realitygrid.org/
Biomolecular chemistry simulation,
Computational steerage,
Visualization and computation use
via supercomputers accessed via
Grid.
›Three dimensional Lattice-Boltzmann
simulations.
›Closely coupling computation and
SPICE HPC Analytics Challenge
Award at SC2005
Awards in SC2003 and
SC2005
Highlighting Usability Issues
(& “lightweight” Grids)
OGSA/OGSI/WSRF pioneer
OMII components WSRF::Lite,
GridSAM
NGS User
experiment to speed up scientific
discovery.
›Data produced during a single large
scale simulation can exceed hundreds o
gigabytes to terabytes
• Peter Coveney (Chemistry,
UCL)
• 3 Universities and institutes
• 6 Companies
Slide: Carole Goble & Jim Fleming
DAME
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http://www.cs.york.ac.uk/dame/
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.
Aircraft healthcare diagnosis
BROADEN DTI Project (£3.9M)
Impact
Spun out technology exploited
RR success
through Cybula Ltd., Oxford
B787?
Biosignals and DS&S.
Successful mid-term demonstrator • Jim Austin (Comp Sci, York)
well received by Rolls Royce
• 4 Universities and institutes
White Rose Grid: experience of
• 3 Companies
building & using production Grids
In Grid Blue Print 2 edition 2
Slide: Carole Goble & Jim Fleming
Link the X-ray and Opt/IR to
understand energetic
galaxies at the edge of the
Universe
Nik Szymanek
Unlocking new science
Federating multi-λ data: Deep Field Surveys
NEP J1716.6+6708: an Xray cluster at z=0.81:
Chandra X-ray image (C.
Mullis) overlaid on a deep
BRI image (D. Clowe & G.
Luppino).
SC|05
November 2005
Slide: Andrew Lawrence
AstroGrid
22
Biomedical Research Informatics
Delivered by Grid Enabled Services
C F G V ir t u a l
P u b lic a lly C u r a te d D a t a
E nsem bl
O r g a n is a t io n
O M IM
G la s g o w
S W I S S -P R O T
P riv a te
E d in b u r g h
MGI
Portal
d ata
P r iv a te
d ata
O x fo rd
HUGO
…
RGD
L e ic e s te r
D ATA
HUB
P r iv a te
d ata
N e th e rla n d s
bl a
st
Synteny
Grid
Service
P riv a te
data
P r iv a te
data
London
P riv a te
d ata
+
http://www.brc.dcs.gla.ac.uk/projects/bridges/
Slide: Richard Sinnott
Healthcare @ Home
REFERRAL
GP
Home-mobile-clinic
via PDA-laptop-PC-Paper
I LL
NE
SS
REFERRAL
Diabetician
Home-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
REFERRAL
VARIABLES
ACCESS
MATRIX
CASE
Patient
Home-mobile-clinic
via TV-PDA-laptop-PC-Paper
Dietitian
Biochemist
Diabetes Specialist / Other Specialist Nurses
Home-mobile-clinic
via TV-PDA-laptop-PC-Paper
Community Nurses / Health Visitors
IXI normal aging cohort
Available from Spring 2006
www.ixi.org.uk
• Researchers often have difficulty
getting access to large cohorts of high
quality data
• The IXI project is making high quality
MRI scans of 100s of normal
subjects (age 18 – 80) available to
researchers
• We would be delighted to make these
available to researchers in China
25
Slide: Derek Hill
GOLD
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Start 1st Feb 2004
Fundamental technology
supporting highly-dynamic
virtual organisations
throughout their entire
lifecycle
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Strong business focus
Speciality, agrochemical and
pharmaceuticals sector
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Security emphasis
OGSA-DAI
Building on myGrid
Information Model
Phase 2 Pilot
Grid-Based Information Models
to Support the Rapid Innovation
of New High Value-Added
Chemicals
data analysis
Allen Wright (Chem Eng,
Newcastle)
• 3 Universities and institutes
• 6 Companies
Slide: Carole Goble & Jim Fleming
Integrative Biology
Tackling two Grand Challenge research
questions:
•
What causes heart disease?
•
How does a cancer form and grow?
Together these diseases cause 61% of all UK
deaths
Will build a powerful, fault-tolerant Grid
infrastructure for biomedical science
Enabling biomedical researchers to use
distributed resources such as high-performance
computers, databases and visualisation tools to
develop complex models of how these killer
diseases develop.
6th September 2006
Courtesy of David Gavaghan & IB Team
27
IB Partners
6th September 2006
Courtesy of David Gavaghan & IB Team
28
Three New EPSRC Projects
CARMEN
Understanding the brain – £4.5m – led by
Professor Colin Ingram, University of Newcastle
upon Tyne
NanoCMOSGrid
Designing nano-circuits – £5.2m – led by
Professor Asen Asenov at Glasgow University
PMESG (Pervasive Mobile Environmental
Sensor Grids) project
Environmental impact of traffic
Jointly funded with the Department for Transport
the Department for Transport
£3.5m – led by Professor John Polak at Imperial
College
CARMEN - Scales of Integration
Understanding the brain
may be the greatest
informatics challenge of
the 21st century
y determining ion
channel contribution
to the timing of action
potentials
y resolving the ‘neural
code’ from the timing
of action potential
activity
y examining integration
within networks of
differing dimensions
30
Slide: Colin Ingram
CARMEN Consortium
Leadership & Infrastructure
Colin Ingram
Paul Watson
Leslie Smith
Jim Austin
31
Slide: Colin Ingram
CARMEN Consortium
International Partners
Ad Aertsen
George Gerstein
(Freiburg)
(Pennsylvania)
Neural network modelling
and large-scale simulations
Analysis of spike pattern trains
Sten Grillner
Shiro Usui
(Karolinska Institute)
(RIKEN Brain Science Institute)
Chairman of the OECD,
International Neuroinformatics
Coordinating Facility
Lead for the Japan Node of the
International Neuroinformatics
Coordinating Facility
Daniel Gardner
(Cornell)
Lead for the US NIH,
Neuroscience Information
Framework and Brain ML
32
Slide: Colin Ingram
CARMEN Consortium
Commercial Partners
- applications in the pharmaceutical sector
- interfacing of data acquisition software
- application of infrastructure
- commercialisation of tools
33
Slide: Colin Ingram
NanoCMOSgriD
Meeting the Design Challenges of Nano-CMOS Electronics
The Challenge
International Technology Roadmap for Semiconductors
Year
MPU Half Pitch (nm)
MPU Gate Length (nm)
2005
2010
2015
2020
90
32
45
18
25
10
14
6
2005 edition Toshiba 04
Device diversification
230 nm
90nm: HP, LOP, LSTP
45nm: UTB SOI
Bulk MOSFET
32nm: Double gate
Standard
25 nm
FinFET
UTB SOI
FD SOI
Bulk MOSFET
LSTP
LOP
HP(MPU)
6th September 2006
Single
Set
Stat.
Sets
Slide: Asen Asenov & Rich Sinnott
NanoCMOSgriD
Meeting the Design Challenges of Nano-CMOS Electronics
University Partners
Advanced Processor Technologies Group (APTGUM)
Device Modelling Group (DMGUG)
Electronic Systems Design Group (ESDGUS)
Intelligent Systems Group (ISGUY)
National e-Science Centre (NeSC)
Microsystems Technology Group (MSTGUG)
Mixed-Mode Design Group in IMNS (MMDGUE)
e-Science NorthWest Centre (eSNW)
6th September 2006
Slide: Asen Asenov & Rich Sinnott
NanoCMOSgriD
Meeting the Design Challenges of Nano-CMOS Electronics
Industrial Partners
Global EDS vendor and world TCAD leader
600 licences of grid implementation, model implementation
UK fabless design company and world microprocessor leader
Core IP, simulation tools, staff time
UK fabless design company and world mixed mode leader
Additional PhD studentship for mixed mode design
Global semiconductor player with strong UK presence
Access to technology, device data, processing
Global semiconductor player with strong UK presence
Access to technology, device data, processing
Global semiconductor player with UK presence
CASE studentship, interconnects
Trade association of the microelectronics industry in the UK
Recruiting new industrial partners and dissemination
Slide: Asen Asenov & Rich Sinnott
Projects: Pioneering methods
Demonstrating results
Infecting academia &
Industry
Enthusiastic researchers, Many interacting communities & Breadth
UK e-Science Success
Reliable e-Infrastructure 24*7
Foundations well established
Extending in Function, Scale & Ubiquity
NGS
e-Science Centres
Specialised support centres
X
AHRC Support @ Kings, Text Mining, 2*NERC centres, NCeSS
Data Services
OMII-UK
E-Science Institute
DCC
JISC Virtual Research Environments
JISC e-Framework
National Grid Service and partners
Edinburgh
CCLRC Rutherford
Appleton Laboratory
Lancaster
Manchester
Leeds
Leeds
York
York
Sheffield
Sheffield
Cardiff Didcot
Westminster
Bristol
6th September 2006
+2.5 years
39
UK e-Infrastructure
Regional and
Campus grids
HPCx + HECtoR
Users get common access, tools, information,
Nationally supported services, through NGS
Community Grids
Integrated
internationally
LHC
VRE, VLE, IE
6th September 2006
40
ISIS TS2
Slide: Neil Geddes
OU=BBSRC
OU=Bristol
OU=Birmingham
6thUsers
September
by2006
institution
OU=
OU=York
01 August
09
2004
November
2004
45
Count of OU=
35
25
100
Linear (NGS User
Registrations)
Total
0
28 May
2005
Count of "RC"
14
160 05
September December
2005
2005
Date
140
120
40
100
30
80
20
60
15
40
5
20
0
bbsrc
cclrc
epsrc
nerc
pparc
Sociology
NGS User
Registrations
Medicine
200
Humanities
250
PP + Astronomy
12
34
56
78
1190
1
1123
114
1156
7
1189
220
2212
23
2254
2276
2389
0
3312
333
3345
6
33378
9
4401
442
4434
5
4467
448
9
5501
552
534
555
5567
8
6590
661
6623
6654
6667
6798
710
7723
7745
776
7
7789
880
8812
3
88845
6
8878
899
0
9912
993
9945
9967
98
110090
1101
02
110034
110065
1107
08
111190
1111
111123
114
111156
17
112189
112210
112223
1124
112265
27
1113289
30
113312
113343
1135
376
Number of Registered NGS Users
Env. Sci
50
Eng. + Phys. Sci
Number of Users
150
Large facilities
10
17
February
2005
biology
23 April
2004
OU=Westminster
OU=Warwick
0
14 January
2004
OU=UCL
OU=Southampton
OU=Sheffield
OU=Reading
Files stored
OU=QueenMaryLondon
~400 users
OU=QUB
OU=Portsmouth
OU=Oxford
OU=OASIS
OU=Nottingham
OU=Newcastle
OU=Manchester
OU=Liverpool
OU=Leeds
OU=Lancaster
OU=Imperial
OU=Glasgow
OU=Edinburgh
OU=DMPHB
OU=DLS
OU=CPPM
OU=CLRC
OU=Cardiff
OU=Cambridge
50
O=universiteit-utrecht
NGS Use
Usage Statistics (Total Hours for all 4 Core Nodes)
250000
200000
150000
Hours
100000
User DN
300
50000
0
Users (Anonymous)
CPU time by user
Total
"RC"
AHRC
mrc
esrc
Users by discipline
41
Slide: Neil Geddes
Applications: 2
Systems Biology
Econometric
analysis
Example: La2-xSrxNiO4
Neutron Scattering
Climate
modelling
6th September 2006
H. Woo et al, Phys Rev B 72 064437 (2005)
42
Slide: Neil Geddes
e-Science Centres in the UK
Coordinated by:
Directors’ Forum
Digital
Digital Curation
Curation Centre
Centre & NeSC
Edinburgh
Edinburgh
Glasgow
Glasgow
Access
Access Grid
Grid
Support
Support Centre
Centre
Newcastle
Newcastle
Lancaster
Lancaster
Manchester
Manchester
White
White Rose
Rose Grid
Grid
Leicester
Leicester
Belfast
Belfast
National
National Centre
Centre for
for
Text
Text Mining
Mining
National
National Centre
Centre for
for
e-Social
e-Social Science
Science
CCLRC
CCLRC Daresbury
Daresbury
National Institute for
National Institute for
Leeds
Leeds
York
Environmental e-Science
e-Science
York Environmental
Sheffield
Sheffield
Cambridge
Cambridge
Birmingham
Birmingham
Oxford
Oxford
National
National Grid
Grid
Service
Service
Cardiff
Cardiff
Bristol
Bristol
6th Reading
September 2006
Reading
+2 years
CCLRC
CCLRC RAL
RAL
Open
Open Middleware
Middleware
Infrastructure
Southampton LeSC
LeSC
Infrastructure Institute
Institute Southampton
43
UCL
UCL
OMII-UK nodes
EPCC
EPCC &
& National
National e-Science
e-Science Centre
Centre
School
School of
of Computer
Computer Science
Science
University
University of
of Manchester
Manchester
Edinburgh
School
School of
of Electronics
Electronics and
and
Computer
Computer Science
Science
University
University of
of Southampton
Southampton
Manchester
Southampton
6th September 2006
44
+3.5 years
‘software and support to enable a sustained future for the
UK e-Science community and its international collaborators’
Software
• Provide guidance to the broad UK e-Science community
• Disseminate your e-Science software to a global community
Support
• Software support and training in using e-Science software
• Provide collaborative mechanisms to support the community
• Define, contribute and disseminate best practice and standards
Sustainability
• Provide a best of breed software solution
• Partner to provide a sustainable future.
Slide: Steven Newhouse
“OMII-UK aims to provide software and
support to enable a sustained future for
the UK e-Science community and its
international collaborators”
Picture of people
Slide: Carole Goble
Digital Curation Centre and partners
Humanities Advanced
Technology and Information
Institute
Database Research Group,
School of Informatics
AHRC Research Centre for
Studies in Intellectual Property
and Technology Law
EDINA
National e-Science Centre
Edinburgh
Glasgow
Rutherford Appleton (Didcot)
and Daresbury (Warrington)
Laboratories
UKOLN (formerly UK Office
for Library Networking)
6th September 2006
Warrington
Didcot
Bath
47
+3 years?
a centre of expertise in data curation and preservation
Digital Curation Centre
• Mission: “… support and promote continuing
improvement in the quality of data curation…”
• Vision
•
•
•
•
Centre of excellence in digital curation
Authoritative source of advocacy & advice
Key facilitator of informed research community
Provider of range of resources, tools & services
a centre of expertise in data curation and preservation
Projects: Pioneering methods
e-Infrastructure: Delivering
Demonstrating results
Resources & Services
Infecting academia &
Connecting & Supporting
Industry
Mutual
Communities
Dependence
&
Growth
Enthusiastic researchers, Many interacting communities & Breadth
Collaboration Pioneer
Professor Dan
Atkins
Director of the Office
of Shared
Cyberinfrastructure,
NSF
The NSF vision of
Cyberinfrastructure
supporting
e-Research,
e-learning and
engagement
Achieving the CI Vision requires
synergy between 3 types of
Foundation wide activities
Transformative
Application - to
enhance discovery &
learning
Provisioning Creation, deployment
and operation of
advanced CI
R&D to enhance technical and
social dimensions of future CI
systems
Office of
Cyberinfrastructure
D. E.
Atkins
Production service
Enabling Grids for E-sciencE
200
180
160
140
120
100
80
sites
60
40
20
0
04
rAp
04
nJu
04
gAu
4
-0
ct
O
4
-0
ec
D
05
bFe
05
rAp
05
nJu
05
gAu
5
-0
ct
O
5
-0
ec
D
Size of the infrastructure today:
• 192 sites in 40 countries
• ~25 000 CPU
• ~ 3 PB disk, + tape MSS
30000
25000
20000
CPU
15000
10000
5000
0
6
5
5
4
5
4
5
05
04
04
05
04
-0
-0
-0
-0
-0
-0
t-0
cnnbgpr
pr
ct
u
u
e
u
e
ug Oc
ec Feb
J
A
A
J
O
F
A
D
D
A
EGEE-II INFSO-RI-031688
Ian.Bird@cern.ch
EGEE’06; Geneva; 25-29th September 2006
54
Usage of the infrastructure
Enabling Grids for E-sciencE
other VOs
EGEE workload
planck
1800000
ops
>50k jobs/day
Jobs/month
1600000
magic
1400000
lhcb
1200000
geant4
1000000
fusion
esr
800000
egrid
600000
egeode
400000
dteam
200000
compchem
Au
g06
Ju
l-0
6
Ju
n06
06
M
ay
-
06
Ap
r-
06
M
ar
-
Fe
b06
Ja
n06
ec
-0
5
D
ov
-0
5
N
ct
-0
5
O
Se
p05
Au
g05
Ju
l-0
5
Ju
n05
05
M
ay
-
05
Ap
r-
M
ar
-
05
cms
Fe
b05
Ja
n05
0
biomed
atlas
alice
Normalized CPU time
other VOs
6000000
planck
ops
k.SI2k. hours
5000000
~7000 CPU-months/month
magic
lhcb
4000000
geant4
fusion
3000000
esr
egrid
2000000
egeode
dteam
1000000
compchem
cms
EGEE-II INFSO-RI-031688
Ian.Bird@cern.ch
Au
g06
Ju
l-0
6
Ju
n06
06
M
ay
-
06
Ap
r-
06
M
ar
-
Fe
b06
Ja
n06
ec
-0
5
D
ov
-0
5
N
ct
-0
5
O
Se
p05
Au
g05
Ju
l-0
5
Ju
n05
05
M
ay
-
05
Ap
r-
M
ar
-
05
biomed
Fe
b05
Ja
n05
0
atlas
alice
EGEE’06; Geneva; 25-29th September 2006
55
Use for massive data transfer
Enabling Grids for E-sciencE
Large LHC experiments now transferring ~ 1PB/month each
EGEE-II INFSO-RI-031688
Ian.Bird@cern.ch
EGEE’06; Geneva; 25-29th September 2006
56
Q1: Are we succeeding?
Goals
Transforming effect on the way we do
research
High impact on National / EU performance
Widening access to e-Science
Honest answers
Probably not
At best we don’t know
Reasons to worry
Few new players
Familiar faces from HPC, etc.
Only the enthusiastic pioneers
Too risky
Too hard to use
Takes heroes to write applications
Takes heroes to install & operate
Doesn’t offer what is wanted
Doesn’t support incremental change
Fragmentation of communities & providers
Loss of potential cost savings
Loss of democratisation
Take a Business approach
Understand users as customers
Understand our role as suppliers
See Carole Goble’s
Keynote at EGEE Conf. 06
27 September 2006
4 u 2 do!
Laggards
Late Majority
Early Majority
Early Adopters
Innovators
Strangers
Acquaintances
Friends
Family
[David De Roure, 2006]
©
62
Slide: Carole Goble
Results of actions from last cycle
Honest assessment of components
User Requirements analysis
Software Catalogue registrations
Send people out to communities
User surveys and follow-ups
Performance/Usability
Customer requests
User forum
User Advocates
Embedded Scientists
Intelligence
Analysis
Group
Intelligence
Funnel
“NERC community
are going to stop
using our products if
we don’t fix
bottlenecks in our
workflow”
Suggest
priorities
Digest
intelligence
Slide: Neil Chue Hong
Execution
Strategy
“If we form an alliance
with e-Minerals then we
can build
developer tools
©
which will be useful
Implement
actions
Suggest
actions
Prioritise
actions
63
Take a Scientific Approach
Understand e-Science
As a phenomenon
4 u 2 do!
Characterise properties & varieties
Postulate hypotheses about mechanisms
Test, validate & refine hypotheses
Take an Engineering Approach
Identify new critical issues
4 u 2 do!
Effectiveness
Usability
Adaptability / Flexibility / Driveability
X
The creative research user must be in driving seat
Establish ways of measuring them
Draw on empirical software engineering
Then demonstrably improve them
Take an Educational Approach
Embed e-Science in your courses
Drive it up the agenda in your
institution
Organise summer schools
Contribute to summer schools
Go to summer schools
Organise training
…
4 u 2 do!
Education, Education, Education!
• Training
–
–
–
–
Targeted
Immediate goals
Specific skills
Building a workforce
• Education
–
–
–
–
Pervasive
Long term and sustained
Generic conceptual models
Developing a culture
Strengthens
Organisation
Services & Applications
Develop
Enriches
Skilled Workers
Society
Innovation
Create
Invests
Training
Prepares
Invests
Education
Graduates
Prepares
• Both are needed
INFSO-SSA-26637
67
ICEAGE in action @ e-IRG
• E-Informatics Research
Group
• Have established a
chapter on E&T in e-IRG
white paper
• Workshop in Linz,
10-11 April
• Prepared chapter
• Accepted by formal
meeting in Vienna, June
• http://www.e-irg.org/
INFSO-SSA-26637
68
• E&T in the charter of OGF
• ET WG established @ OGF
• Charter accepted (ETWG)
– Officers
ƒ
ƒ
ƒ
ƒ
ƒ
ƒ
David Fergusson, NeSC
Ann Redelfs, EPIC
Ruediger Berlich, KMZ
Kilian Schwarz, Darmstadt
Beth Plale, Indiana U.
Malcolm Atkinson, UK
– Secretariat
ƒ Kathryn Cassidy, TCD
ƒ Lilly Hunter, ICEAGE
– Themes
ƒ E&T Frameworks
ƒ E&T Synergy
ƒ E&T Content
INFSO-SSA-26637
Must combine strength & effect of ICEAGE, e-IRG & OGF
ICEAGE launches ET-WG @ OGF
69
Repository of shared learning
resources
INFSO-SSA-26637
EGEE conference 26th September 2006
70
Start answering Q1
Learn from business
Drive your mission hard
4 u 2 do!
Recognise the Scientific Question
Drive your mission very hard
Take up the engineering challenge
Drive your mission very very hard
Engage in e-Science Education
Every day do what you can
Start now – Pick your mission
Don’t wait for someone else to lead
Q2: Is e-Science cost effective
What is the RoI
Papers in Nature & Science
New knowledge in application domains
New Computing knowledge
Breakthroughs
Nobel prizes
How does it compare with business as
usual
The desk top, project & cluster computing
The HPC computing
…
Honest answers
Don’t know
Haven’t measured it
Excuses
Too hard to measure
Too soon to measure
Not good enough!
Time to Grow Up
As Q1 + Standards
Reduce costs
4 u 2 do!
Smarter engineering
Share cost of each engineering effort
Recognise core & common requirements
Establish standard APIs, Protocols &
Policies
To
To
To
To
To
capture the common requirement
enable interchangeable solutions
encourage re-use
enable composition & interoperation
foster stability
Start answering Q1
Learn from business
Drive your mission hard
Recognise the Scientific Question
Drive your mission very hard
Take up the engineering challenge
Drive your mission very very hard
Engage in e-Science Education
Every day do what you can
Help to form / encourage standards
If you help they may help you!
Start now – Pick your mission
Don’t wait for someone else to lead
4 u 2 do!
Take Home
Collaboration
Three Mutual
Strengths
Sparks of Success
Danger of Fire going
out
Find your way to
fan the flames
There is Much for
you to do
Enjoy the
opportunity
4 u 2 do!