scalability is a higher order function and returns a function to
calculate the scalability for the specific USL model.
# S4 method for USL
scalability(object, alpha, beta, gamma)A function with parameter x that calculates the
scalability value of the specific model.
A USL object.
Optional parameter to be used for evaluation instead of the parameter computed for the model.
Optional parameter to be used for evaluation instead of the parameter computed for the model.
Optional parameter to be used for evaluation instead of the parameter computed for the model.
The returned function can be used to calculate specific values once the model for a system has been created.
The parameters alpha and beta 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.
Neil J. Gunther. Guerrilla Capacity Planning: A Tactical Approach to Planning for Highly Scalable Applications and Services. Springer, Heidelberg, Germany, 1st edition, 2007.
usl,
peak.scalability,USL-method
optimal.scalability,USL-method
limit.scalability,USL-method
require(usl)
data(raytracer)
## Compute the scalability function
scf <- scalability(usl(throughput ~ processors, raytracer))
## Print scalability for 32 CPUs for the demo dataset
print(scf(32))
## Plot scalability for the range from 1 to 64 CPUs
plot(scf, from=1, to=64)
Run the code above in your browser using DataLab