Data processing: structural design – modeling – simulation – and em – Modeling by mathematical expression
Reexamination Certificate
2008-07-08
2008-07-08
Shah, Kamini S (Department: 2128)
Data processing: structural design, modeling, simulation, and em
Modeling by mathematical expression
C703S022000, C702S179000, C702S186000, C709S241000, C709S241000, C709S224000, C709S226000, C714S001000
Reexamination Certificate
active
07398191
ABSTRACT:
One embodiment of the present invention provides a system that computes a distance metric between computer system workloads. During operation, the system receives a dataset containing metrics that have been collected for a number of workloads of interest. Next, the system uses splines to define bases for a regression model which uses a performance indicator y as a response and uses the metrics (represented by a vector x) as predictors. The system then fits the regression model to the dataset using a penalized least squares (PLS) criterion to obtain functions f1, . . . , fP, which are smooth univariate functions of individual metrics that add up to the regression function f, such that y=f(x)+ε=∑i=1Pfi(xi)+ɛ,wherein ε represents noise. Finally, the system uses the fitted regression function to define the distance metric.
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Bonebakker Jan L.
Gluhovsky Ilya
Park Vaughan & Fleming LLP
Patel Shambhavi
Shah Kamini S
Sun Microsystems Inc.
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