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Examples of relevant projects:
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This EPSRC
project addresses issues of High Performance Visualization (HPV).
It is studying conceptual models that encapsulate a variety of
HPV tasks and associated data, and is developing a multi-platform
environment for managing the visualization tasks. The project is
led by the University of Wales at Bangor and involves also
Universities of Manchester and Swansea. The Leeds involvement is
led by Professor Ken Brodlie and Dr Jason Wood. |
ADVANCED
ENVIRONMENTS FOR
ENABLING VISUAL
SUPERCOMPUTING
- e-Viz
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This research project,
recently funded by the European Commission, brings together various
academic and industrial partners to address Grid risk awareness and
consideration in Service Level Agreement negotiation, self-organising
fault-tolerant actions, and capacity planning. It will develop and
integrate methods for risk management in all Grid layers. The corner
stones are risk management scenarios reflecting the perspective of
Grid end-users, resource brokers, and resource providers. The results
will support all Grid actors by increasing the transparency,
reliability, and trustworthiness as well as providing an objective
foundation for planning and management of Grid activities. |
ASSESSGRID: RISK ASSESSMENT and MANAGEMENT for
GRIDS |
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The
£3.5m
DTI
BROADEN
(Business Resource Optimisation for Aftermarket and
Design on Engineering Networks) project is the
commercial realisation of the DAME (Distributed Aircraft Maintenance
Environment) infrastructure. The project is lead by Rolls-Royce and
involves the White Rose Universities and industrial partners
such as Electronic Data Systems (EDS), Oxford BioSignals Ltd, and Cybula
Ltd.
Its primary
objective is to build an internal pilot grid which will not only
support the integrated diagnostic tools from DAME and the associated
large volumes of engine health monitoring data collected during groundbased testing at pass-off and overhaul, but also large-scale
numerical simulations of high fidelity CFD (computational fluid
dynamics) for design optimisation, and very large-scale agent-based
modelling of aftermarket business processes, incorporating logistics
and the supply chain. |
BROADEN |
|
CARMEN
is a 4-year EPSRC funded e-Science Pilot Project involving 11
Universities and 19 Investigators. It aims to use grid technologies
to enable experimenters in neurophysiology to archive their datasets
in a structure, making them widely accessible for computational modellers and algorithm developers to exploit. The project will
provide integrated and co-ordinated services for the neuroscience
data, enabling neuronal signal detection, sorting and analysis, as
well as visualisation and modelling. Furthermore it will enable direct
near real-time analysis of streamed experimental data, providing
information to distributed teams of specialists that will allow
difficult experiments to be optimised. |
CARMEN |
|
COLAB is a joint research project of
the Universities of Leeds (UK) and Beihang in Beijing (China) co-led
by Profs J Xu (Leeds) and J Huai (Beihang), and managed by the
EPSRC White Rose Grid e‑Science Centre established between
Universities of Leeds, York and Sheffield. The project relates to the
CROWN (China Research environment Over Wide-area Network) grid
middleware system originally developed at Beihang University. Two
sub-groups research the areas of Fault and Attack Tolerance, and Fault
Injection-based Evaluation. Amongst other topics they investigate the
provision of topologically aware fault and intrusion tolerance in grid
systems as well as the provision of revised fault models for grid
applications. |
COLAB |
|
Grid-FIT (Grid – Fault Injection
Technology) is a fault injector that utilizes network level fault
injection to assess grid systems. Grid-FIT has been implemented
specifically to test SOAP based web services systems and Globus
systems. |
Grid-FIT |
|
This project
addresses two key problems in medicine today: the causes of
cardiac failure and cancer tumours. Scientists are developing
multi-scale models (from cells to whole organs) to help
understand these problems. The size and complexity of the models
demands significant compute power, and so this project brings
together scientists and Grid computing experts. The project is
being led by the University of Oxford and involves partners
across the world, including the USA and New Zealand. Our
contribution is in the area of computational steering and
visualization, and is led by Professor Ken Brodlie and Dr James
Handley. |
INTEGRATIVE
BIOLOGY
|
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The
MoSeS
(Modelling and Simulation for e-social Science) project is undertaken
by the National Centre for e-Social Science node at the University of
Leeds. The objective of this project is to develop representation of
the entire UK population as individuals and households, together with
a package of modelling tools which allows specific research and policy
questions to be addressed. |
MoSeS |
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The University of Leeds researchers
are extending the knowledge of system architecture as part of the
Network Enabled Capability (NEC) programme which aims to enhance
military capability by better exploitation of information.
The NECTISE (NEC Through Innovative Systems Engineering) project aims
to address NEC issues using Service-Oriented Architecture (SOA) and
enhanced system dependability using quality of service measures and
metrics.
This includes development and evaluation of a set
of architectural representations of system of systems to support NEC
and through-life system evolution with specific links to developing
MoD Architectural Framework, MODAF.
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NECTISE |
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The
Scientific
e-Communities Architecture (SeCA)
project focuses on the design and evaluation of a
novel Collaborative e-Science Architecture and its application, in the
first instance to combustion chemistry. The project exploits
Peer-to-Peer (P2P) technologies for supporting this scientific
community model and a grid-based workgroup architecture for providing
access to large computation and data resources. There are a number of
challenges in realising the vision, for example, effective P2P
resource discovery. |
SeCA |
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The
Virtual Vellum e-Science demonstrator project funded
in 2006 by EPSRC/JISC/Arts & Humanities e-Science Initiative and the
UK e Science Core Programme with the aim of promoting and
demonstrating the use of technology within arts and humanities
research investigated technologies that facilitate the storage,
retrieval and manipulation of very high resolution image datasets
(typically greater than 8k x 6k pixels). The project
is still undergoing further development, which includes a customised
version for a forthcoming exhibition at Leeds Royal Armouries in
December 2007 that focuses on the chronicles of Jean Froissart.
|
Virtual Vellum |
Examples of relevant
completed projects:
|
This e-Science demonstrator, developed by
Professor Ken Brodlie and his research team at Leeds in 2001,
illustrates how a team of scientists at different geographical
locations can work together over the Internet to steer and
visualize a simulation. The demonstrator uses the IRIS Explorer
visualization system (developed by NAG Ltd) and was used as an
early exemplar of the importance of visualization in Grid
computing. |
COLLABORATIVE
VISUALIZATION
|
|
DAME (Distributed
Aircraft Maintenance Environment), led by Prof Austin of York,
was a major (£3.5m)
e-Science project, which has developed a generic test-bed for
distributed diagnostics. The application demonstrator built within
the project offers a distributed maintenance environment
motivated by the needs of Rolls Royce and its information system
partner, Data Systems and Solutions.
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DAME
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The e-Demand
project was supported by the Leeds and Durham Grid consortium,
which includes experts from both academia and industry. The
project has developed a demand-led and service-centric architecture
for building complex but dependable and secure Grid applications
based on the notion of ultra-late binding, dynamically bound
service components, combined with atomic actions as a powerful
control abstraction. |
e-Demand |
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GEMSS
(Grid-enabled Medical Simulation Services) is funded by
the EU FP5 programme and is concerned with creating an environment
in which computationally demanding tools native to the Health-Care
sector can be made available to a wide spectrum of users. The goal
is to provide a transparently accessible health computing resource
suited to solving problems of large magnitude, with the end user
having no awareness of the Grid computing platform(s). The project
will evaluate the viability of this approach through several sample
applications, including maxillo-facial surgery planning, neuro-surgery
support, medical image reconstruction, radiosurgery planning and
lung/cardiovascular simulations - the latter two have their base in
Sheffield (Medical Physics). |
GEMSS |
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This project,
led by Professor M Berzins of
Leeds University, and carried out in collaboration with Shell
Research, has brought together advanced visualization,
problem-solving environments, and computational techniques to create a
Grid based workbench for the computational modelling of lubricants. |
GOSPEL |
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This
ESRC demonstrator and the follow-on HYDRA2 project, both led by Dr M Birkin and Prof P M Dew from the
University of Leeds, have demonstrated the use of grid technologies in support of the decision-making process
in health care planning. A disparate set of data sources as well as a decision support module and visualization
have been integrated to present the results.
|
HYDRA
& HYDRA2 |
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The purpose of
the IBHIS project was to
create an information broker service that supports the
reliable integration of heterogeneous forms of information owned and
managed by autonomous agencies. This EPSRC project was undertaken
by the Pennine Group (software engineering researchers from the
University of Durham, Keele University, UMIST and the University of
Leeds), together with Keele’s Centre for Health Planning & Management,
and the NHS and Social Service partners in Solihull. |
IBHIS |
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myGrid
will design, develop and demonstrate higher level
functionalities over an existing Grid infrastructure that support
scientists in making use of complex distributed resources. The
project will develop a virtual laboratory workbench that will serve
the life sciences community. |
myGrid |
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This e-Science Core Programme project, led by Professor Ken
Brodlie and Dr Jason Wood at Leeds, has investigated the middleware
required to support visualization systems in a Grid environment. Two
existing systems, IRIS Explorer (from NAG Ltd) and pV3 (from MIT),
have been extended to exploit new Grid and Web technologies. New
software (the gViz library) has been developed to act as middleware
‘glue’ between simulations running on the Grid and a visualization
system on the desktop. An XML language (skML) to describe
visualization pipelines has also been developed. The project
completed in 2004, and involved academic partners at the Universities
of Oxford and Oxford Brookes, and CLRC, and industrial partners NAG,
IBM UK and Streamline Computing. |
VISUALIZATION
MIDDLEWARE
for e-Science – gViz |
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