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Content archived on 2024-05-29

Data-Grid Environment and Tools for Distributed Management and Analysis of Large Sets of Scientific Data

Objective

Grid based computational infrastructure has emerged as a natural response to the demands of computing applications worldwide which are becoming more complex and demanding in terms of resources as well as increasingly collaborative and interdisciplinary. We will create a framework for Data-Grid computing that unifies resource access and representation in a user-friendly environment that is ubiquitous, adaptive, robust, and scalable. This will be prototyped on key test-bed activities that have been chosen by their intrinsic scientific merit, their reliance on remote data access, and their connections to international Grid efforts. These test-beds in the areas of particle physics, astrophysics and bioinformatics will allow researchers to analyse remote data and make scientific measurements that would not be possible without recourse to Data-Grid tools. Knowledge transfer is vital to the success of this project. The consortium presenting this proposal has expertise in the area of the core computer science (parallel processing, parallel architectures, scheduling, heterogeneous distributed systems, dynamic load balancing, artificial neural networks, and optimisation techniques), and the applications (particle physics, astrophysics and bioinformatics). What is missing are the links between the two: people with Grid experience of real world applications and software engineers who can implement our vision. An outreach component to our project will allow us to deploy Data-Grid technology across a variety of activities in both the academic and commercial worlds. Use of our framework in a wide range of disparate activities will allow for a widespread use of the tools for e-science, e-commerce, and the public at large. We will make significant contributions to international data-Grid research, produce world-class scientific results in the fields of particle physics, astrophysics and biochemistry, and activate a large user base for data-Grid in Ireland and beyond.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP6-2002-MOBILITY-3
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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

TOK - Marie Curie actions-Transfer of Knowledge

Coordinator

NATIONAL UNIVERSITY OF IRELAND, DUBLIN
EU contribution
No data
Address
Belfield
DUBLIN
Ireland

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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (1)

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