
38 Grid Computing in Research and Education
4.1 Introduction
In this example we present a grid implementation to provide the execution of
complex system simulations in the areas of physics, chemistry, and biology. The
implementation tackles the problem of intensive calculations, which demands
high performance computing and typically requires large computational
infrastructures as clusters.
4.1.1 Business context
Researchers have a number of calculation requirements which affect many
fields, such as engineering, physical science, medicine, and economics.
From the global-level simulations such as weather, ocean current, aerial
pollution, and mari ...