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Title:
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COMPUTER PERFORMANCE INVARIANT II CWG REDUCTION TECHNIQUES |
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Author(s):
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G. Grabarnik , L. Kozakov , L. Shwartz , V. Lemberg |
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ISBN:
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978-972-8924-30-0 |
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Editors:
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Nuno Guimarães and Pedro Isaías |
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Year:
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2007 |
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Edition:
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Single |
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Keywords:
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Resource consumption analysis, application resource demands, computer work gradient matrix, task work path. |
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Type:
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Short Paper |
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First Page:
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620 |
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Last Page:
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623 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Efficiency of managing and planning resources and tasks in heterogeneous computer systems depends heavily on the accuracy of estimating each task resource demands. Earlier, we introduced the concept of Computer Work Gradient (CWG) matrix, which is an invariant for specific configuration of a computer, as the way for improving the accuracy of task resource demands estimation. In this paper we describe how to approximate the CWG matrix by using Markov clustering. This technique allows us to essentially reduce resources and experiment time required for generating the invariant. |
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