• 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