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Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03)
MAGNET: A Tool for Debugging, Analyzing and Adapting Computing Systems
Tokyo, Japan
May 12-May 15
ISBN: 0-7695-1919-9
ASCII Text
x 
 
Mark K. Gardnery, Wu-chun Fengyz, Michael Broxtonyx, Adam Engelharty, Gus Hurwitzy, "MAGNET: A Tool for Debugging, Analyzing and Adapting Computing Systems," Cluster Computing and the Grid, IEEE International Symposium on, pp. 310, Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03), 2003.
 
 
BibTex
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@article{ 10.1109/CCGRID.2003.1199382,
author = {Mark K. Gardnery and Wu-chun Fengyz and Michael Broxtonyx and Adam Engelharty and Gus Hurwitzy},
title = {MAGNET: A Tool for Debugging, Analyzing and Adapting Computing Systems},
journal ={Cluster Computing and the Grid, IEEE International Symposium on},
volume = {0},
year = {2003},
isbn = {0-7695-1919-9},
pages = {310},
doi = {http://doi.ieeecomputersociety.org/10.1109/CCGRID.2003.1199382},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Cluster Computing and the Grid, IEEE International Symposium on
TI - MAGNET: A Tool for Debugging, Analyzing and Adapting Computing Systems
SN - 0-7695-1919-9
SP
EP
A1 - Mark K. Gardnery,
A1 - Wu-chun Fengyz,
A1 - Michael Broxtonyx,
A1 - Adam Engelharty,
A1 - Gus Hurwitzy,
PY - 2003
KW - null
VL - 0
JA - Cluster Computing and the Grid, IEEE International Symposium on
ER -
 
Mark K. Gardnery, Los Alamos National Laboratory
Wu-chun Fengyz, Los Alamos National Laboratory; The Ohio State University
Michael Broxtonyx, Los Alamos National Laboratory; Massachusetts Institute of Technology
Adam Engelharty, Los Alamos National Laboratory
Gus Hurwitzy, Los Alamos National Laboratory; St. John
As computing systems grow in complexity, the cluster and grid communities require more sophisticated tools to diagnose, debug and analyze such systems. We have developed a toolkit called MAGNET (Monitoring Apparatus for General kerNel-Event Tracing) that provides a detailed look at operating-system kernel events with very low overhead. Using the fine-grained information that MAGNET exports from kernel space, challenging problems become amenable to identification and correction.
In this paper, we first present the design, implementation and evaluation of MAGNET. Then, we show its use as a diagnostic tool, an online-monitoring tool and a tool for building adaptive applications in clusters and grids.
Citation:
Mark K. Gardnery, Wu-chun Fengyz, Michael Broxtonyx, Adam Engelharty, Gus Hurwitzy, "MAGNET: A Tool for Debugging, Analyzing and Adapting Computing Systems," ccgrid, pp.310, Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03), 2003
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