predict: Predict method for Universal Scalability Law models

Description

predict is a function for predictions of the scalability of a system modeled with the Universal Scalability Law.

Usage

## S3 method for class 'USL':
predict(object, newdata, sigma, kappa)

Arguments

object

A USL model object for which prediction is desired.

newdata

An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.

sigma

Optional parameter to be used for evaluation instead of the parameter computed for the model.

kappa

Optional parameter to be used for evaluation instead of the parameter computed for the model.

Value

predict produces a vector of predictions.

Details

The parameters sigma or kappa are useful to do a what-if analysis. Setting these parameters override the model parameters and show how the system would behave with a different contention or coherency delay parameter.

predict internally uses the function returned by scalability to calculate the result.

References

Neil J. Gunther. Guerrilla Capacity Planning: A Tactical Approach to Planning for Highly Scalable Applications and Services. Springer, Heidelberg, Germany, 1st edition, 2007.

Examples

Run this code

require(usl)

data(raytracer)

## Print predicted result from USL model for demo dataset
predict(usl(throughput ~ processors, raytracer))

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