A variety of distributed infrastructures have
emerged which support the remote and distributed analysis of data, including data webs, data grids, and semantic
webs. With clusters and high performance networks becoming common, the analysis of remote and distributed data
is now practical. In this tutorial, we broad an overview of the infrastructure and tools available for analyzing
globally distributed data. The tutorial includes several case studies from science, engineering, and business.
We will describe both cluster and grid based tools from high performance computing as well as web services being
developed by the web community. Finally, we give an overview of the current and emerging standards. The goal of
the tutorial is to provide researchers, practitioners, and advanced students with an introduction to techniques
for analyzing and mining globally distributed data.
For Part 3 of the Tutorial, send email to email@example.com if you would like to receive a file with the presentation.