The paradigm of Grid computing is currently being deployed to solve some of our most challenging computing problems. The tutorial will explore - largely through first-hand examples - how to apply Grid techniques to complex problems in scientific and engineering computation. The tutorial provides a pragmatic overview of the Grid concept, based on the latest models of Grid architecture. It surveys several technologies that can be used to construct Grids, focusing on the Globus Toolkit, Condor, and the new Open Grid Services Architecture. It illustrates the accomplishments, plans, and challenges faced by large Grid projects in the U.S., Europe, and Asia, including Grid Physics Network, Particle Physics Data Grid, NASA Information Power Grid, Network for Earthquake Engineering Simulation Grid, EU DataGrid, and Earth Systems Grid. It also includes a brief review of major research challenges in Grid computing and current research efforts to extend the scope, utility, and ease of grid computing.
This tutorial is for people interested in getting acquainted with Grid computing concepts, technologies, and approaches and in exploring how to apply Grid technologies to their own large-scale computing problems. It will also be of interest to those with previous exposure to the concept who seek an update on how Grid techniques have matured and solidified in the past two years.
Instructor: Dr. Ian Foster is Senior Scientist and Associate Director of the Mathematics and Computer Science Division at Argonne National Laboratory, Professor of Computer Science at the University of Chicago, and Senior Fellow in the Argonne/U.Chicago Computation Institute. He currently co-leads the Globus project as well as a number of other major Grid initiatives, including the DOE-funded Earth System Grid and the NSF-funded GriPhyN and GRIDS Center projects. He co-edited the book ``The Grid: Blueprint for a New Computing Infrastructure."
Notes: Tutorial Notes may be purchased on site. To assure availability, please let us know whether to reserve a copy for you.