ICENI.

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 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. [ABSTRACT FROM AUTHOR]