DocumentCode :
1806301
Title :
A matrix approach to performance data modeling, analysis and visualization
Author :
Waheed, Abdul ; Kronmüller, Bemd ; Rover, Diane T.
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
fYear :
1994
fDate :
31 Jan-2 Feb 1994
Firstpage :
137
Lastpage :
141
Abstract :
For large-scale systems depending on numerous parameters and variables, matrices are considered to be a very useful notation. Techniques of linear algebra can be used to analyze the system and understand its behavior. To apply the matrix notation to large-scale computer systems is a novel approach to gain insight into its concurrent activities, which is not an easy task without special analysis methods. Therefore, we introduce a matrix notation for the performance data. Using a metric-based performance matrix, the transformations to the different analysis domains (e.g. spatial and temporal) are explained. This approach towards performance analysis benefits from the methods of linear algebra and provides a mathematical means of analysis as an alternative to approaches based on database systems
Keywords :
data analysis; data visualisation; matrix algebra; performance evaluation; concurrent activitie; data visualization; database systems; large-scale systems; linear algebra; matrix approach; metric-based performance matrix; performance analysis; performance data modeling; Concurrent computing; Data analysis; Data visualization; Database systems; Digital filters; Information analysis; Large-scale systems; Linear algebra; Matrices; Performance analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 1994., MASCOTS '94., Proceedings of the Second International Workshop on
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-5292-6
Type :
conf
DOI :
10.1109/MASCOT.1994.284433
Filename :
284433
Link To Document :
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