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Stephen McGough, William Lee, Jeremy Cohen, Eleftheria Katsiri, John Darlington

Book Chapter
Workflows for e-Science: Scientific Workflows for Grids
June, 2007
Springer
ISBN 978-1-84628-519-6
Abstract

Performing large-scale science is becoming increasingly complex.

Scientists have resorted to the use of computing tools to enable

and automate their experimental process. As acceptance of the

technology grows, it will become commonplace that computational

experiments will involve larger data sets, more computational

resources, and scientists (often referred to as e-Scientists)

distributed across geographical and organizational boundaries. We

see the {\em Grid} paradigm as an abstraction to a large

collection of distributed heterogeneous resources, including

computational, storage, and instrument elements, controlled and

shared by different organizations. Grid computing should

facilitate the e-Scientist's ability to run applications in a

transparent manner.

BibTEX file for the publication
 

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