Title: Approaches to Application and Data Management in Grid Environment
by Patrícia Kayser - UFRJ
Summary:
The term grid computing was coined in the mid-1990s to denote a
hardware and software infrastructure that provides consistent, and
pervasive access to high-end computational resources. Many
applications have a high demand for computational resources and are
suitable to exploit grid potential. For instance, research in high
energy physics (HEP) usually requires processing of large amounts of
data using processing intensive algorithms. Our lectures address some
of the state of the art research related to application and data
management in grid environments. Management of applications implies
task scheduling, resource discovery as well as monitoring. The data
management topic includes replication for performance issues, efficient
file transfer, and data locality.
Please send questions/comments to Moacyr
HG Souza.
This page was last updated on 08/19/2003.