A Visualization Tool for Analyzing Cluster Performance Data

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Third IEEE International Conference on Cluster Computing (CLUSTER'01)

Newport Beach, CA

October 08-October 11

ISBN: 0-7695-1116-3

	ASCII Text	x
	Rena Haynes, Patricia Crossno, Eric Russell, "A Visualization Tool for Analyzing Cluster Performance Data," Cluster Computing, IEEE International Conference on, pp. 295, Third IEEE International Conference on Cluster Computing (CLUSTER'01), 2001.

	BibTex	x
	@article{ 10.1109/CLUSTR.2001.959990, author = {Rena Haynes and Patricia Crossno and Eric Russell}, title = {A Visualization Tool for Analyzing Cluster Performance Data}, journal ={Cluster Computing, IEEE International Conference on}, volume = {0}, year = {2001}, isbn = {0-7695-1116-3}, pages = {295}, doi = {http://doi.ieeecomputersociety.org/10.1109/CLUSTR.2001.959990}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Cluster Computing, IEEE International Conference on TI - A Visualization Tool for Analyzing Cluster Performance Data SN - 0-7695-1116-3 SP EP A1 - Rena Haynes, A1 - Patricia Crossno, A1 - Eric Russell, PY - 2001 KW - performance analysis KW - cluster computers KW - visual debugging KW - monitoring software VL - 0 JA - Cluster Computing, IEEE International Conference on ER -

Rena Haynes, Sandia National Laboratories

Patricia Crossno, Sandia National Laboratories

Eric Russell, Sandia National Laboratories

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CLUSTR.2001.959990

This paper describes a unique visualization tool that has been used to analyze performance of the Cplant(tm) clusters at Sandia National Laboratories.As commodity cluster systems grow in size and complexity, understanding performance issues becomes more and more difficult.We have developed a tool that facilitates visual performance analysis within the context of the physical and runtime environment of a system. Combining an abstract system model with color-coding for both performance and job information enables quick fault isolation as well as insight into complex system behavior.

Index Terms:

performance analysis, cluster computers, visual debugging, monitoring software

Citation:

Rena Haynes, Patricia Crossno, Eric Russell, "A Visualization Tool for Analyzing Cluster Performance Data," cluster, pp.295, Third IEEE International Conference on Cluster Computing (CLUSTER'01), 2001

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