Midlands e-Science Center University of Birmingham, dti e-Science Grid

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.
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.

 

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.

 

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.

 

e-Science Sister Project

DS-Grid: Large Scale Distributed Simulation on The Grid.

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).


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.

 

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.

 

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