Martin
Stoufer
Lawrence Berkeley National Laboratories
Subject:
Distributed
Monitoring Techniques and Analysis; Eliminating the Wizard
Gap
Abstract:
With
the emergence of Distributed Computing and the 'Grid', it
is all but impossible for the end user to determine why their
distributed application runs slow. Researches with varying
constraints simply do not have the resources to identify and
resolve the problem(s). With the use of a comprehensive monitoring
and analysis framework in place, we can now see the entire
top-to-bottom state of the system at any give time. This talk
will cover LBNL's work in developing a comprehensive suite
of tools and techniques used to solve distributed computing
problems.
Bio:
Martin Stoufer is a Fall 1997 graduate from
SFSU and has worked at LBNL for the past 5 years. Starting
first in the Operations group of the Supercomputing center
at the lab, he eventually moved into research end of large-scale
computing. Currently in the Data Intensive Distributed Computing
group of the Distributed Systems Division, he has worked
on this project, and other Web Service projects for the
past two years. He has co-authored 3 published papers on
the needs and addressed problems of distributed computing.