Below is a list of projects which MeSC was involved with:
Fundamentals of e-Science Project |
This project addresses research in the areas of:
- systems and application modelling that allow us to predict reliably
the behaviour of future eScience infrastructures;
- performance verification that provides evidence-based validation
on the delivery of these services;
- self tuning and adaptive systems that aim to reduce the cost
and complexity of managing the infrastructure in the light of
changing user needs and changing infrastructure support.
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GridPP |
GridPP is a collaboration of particle physicists and computer
scientists from the UK and CERN, who are building a computing Grid
for particle physics. GridPP is funded by PPARC as part of its e-Science
Programme.
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Grid
resource management and resource prediction |
Developing a set of middleware tools that aim to improve grid
resource allocation and service management. Research encompasses
fine-grained performance prediction techniques, application response
monitoring tools, an agent-based service management system and an
efficient process scheduler.
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eScience
Pilot Project in Integrative Biology |
The Integrative Biology project addresses two of the most important
problems in clinical medicine today, how to understand the causes
of cardiac failure and cancer tumours, diseases which together account
for about 60% of UK deaths.
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e-Science
Sister Project
DS-Grid:
Large Scale Distributed Simulation on The Grid.
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DS-Grid is a collaborative project between the MeSC and the Parallel & Distributed Computing Centre
(PDCC) at Nanyang Technological University, Singapore.
The project aims to set up a trans-national Grid infrastructure,
developing a case study in Grid-aware large-scale distributed simulation
(HLA / RTI).
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CancerGrid |
The CancerGrid project will deliver modular, distributed software
solutions for the key problems of clinical cancer informatics: clinical
trial patient entry, randomisation and follow-up; storage and analysis
of complex datasets; linking trial and epidemiology data with profiling
information. It will facilitate trials management, and future collaboration
across international boundaries.
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Related Projects
eTUMOUR |
Bringing together the expertise required for a large-scale study
of the genomic and metabolomic characteristics of brain tumors, with
a multi-centre collaboration to acquire statistically significant
data, particularly for rare tumor types.
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A Numerical And Experimental Re-Examination Of Fluidised Beds Of Cohesive Particles |
Based in the Chemical Engineering at The University of Birmingham,
the project addresses the issues of;
- bed expansion
- bubbling behaviour, including bubble instability
- pressure effects at high gas velocities
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