usl: Analyze System Scalability with the Universal Scalability Law
Version 1.7.0

The Universal Scalability Law is a model to predict hardware and software scalability. It uses system capacity as a function of load to forecast the scalability for the system.

Browse man pages Browse package API and functions Browse package files

AuthorNeil J. Gunther [aut], Stefan Moeding [aut, cre]
Date of publication2016-10-14 00:15:27
MaintainerStefan Moeding <stm@moeding.net>
LicenseBSD_2_clause + file LICENSE
Version1.7.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("usl")

Man pages

cash-USL-method: Extract parts of a "'USL'" object
confint-USL-method: Confidence Intervals for USL model parameters
efficiency-USL-method: Efficiency of the system
gradient.usl: Calculate gradient for the universal scalability function
initialize-USL-method: Generate an object from the "'USL'" class
oracledb: Performance of an Oracle database used for online transaction...
overhead-USL-method: Overhead method for Universal Scalability Law models
peak.scalability-USL-method: Peak scalability value of a USL model
plot-USL-method: Plot the scalability function from a USL model
predict-USL-method: Predict method for Universal Scalability Law models
print-USL-method: Print objects of class "'USL'"
raytracer: Performance of a ray-tracing software on different hardware...
scalability-USL-method: Scalability function of a USL model
show-USL-method: Show objects of class "'USL'"
specsdm91: Performanced of a Sun SPARCcenter 2000 in the SPEC SDM91...
summary-USL-method: USL Object Summary
usl: Create a model for the Universal Scalability Law
USL-class: Class "'USL'" for Universal Scalability Law models
usl-package: Analyze system scalability with the Universal Scalability Law
usl.solve.lm: Solve a USL model using a transformation to a 2nd degree...
usl.solve.nls: Solve a USL model using non linear regression
usl.solve.nlxb: Solve a USL model using non linear regression

Functions

$,USL-method Man page
USL-class Man page
confint,USL-method Man page
efficiency Man page
efficiency,USL-method Man page
gradient.usl Man page Source code
initialize,USL-method Man page
oracledb Man page
overhead Man page
overhead,USL-method Man page
peak.scalability Man page
peak.scalability,USL-method Man page
plot,USL-method Man page
predict,USL-method Man page
print,USL-method Man page
raytracer Man page
scalability Man page
scalability,USL-method Man page
show,USL-method Man page
specsdm91 Man page
summary,USL-method Man page
usl Man page Source code
usl-package Man page
usl.solve.lm Man page Source code
usl.solve.nls Man page Source code
usl.solve.nlxb Man page Source code

Files

inst
inst/doc
inst/doc/usl.R
inst/doc/usl.Rnw
inst/doc/usl.pdf
tests
tests/t10.Rout.save
tests/t07.R
tests/t07.Rout.save
tests/t06.R
tests/t02.Rout.save
tests/t09.R
tests/t01.Rout.save
tests/t03.Rout.save
tests/t05.R
tests/t06.Rout.save
tests/t10.R
tests/t08.R
tests/t03.R
tests/t01.R
tests/t02.R
tests/t09.Rout.save
tests/t04.Rout.save
tests/t08.Rout.save
tests/t05.Rout.save
tests/t04.R
NAMESPACE
NEWS
data
data/specsdm91.rda
data/raytracer.rda
data/oracledb.rda
R
R/AllClasses.R
R/AllGenerics.R
R/usl-package.R
R/plot.R
R/predict.R
R/initialize.R
R/show.R
R/scalability.R
R/usl.R
R/print.R
R/confint.R
R/extract.R
R/summary.R
R/gradient.R
R/datasets.R
R/efficiency.R
R/overhead.R
vignettes
vignettes/usl.Rnw
vignettes/usl.bib
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/summary-USL-method.Rd
man/predict-USL-method.Rd
man/oracledb.Rd
man/scalability-USL-method.Rd
man/gradient.usl.Rd
man/usl.solve.nls.Rd
man/usl.solve.lm.Rd
man/cash-USL-method.Rd
man/specsdm91.Rd
man/initialize-USL-method.Rd
man/efficiency-USL-method.Rd
man/plot-USL-method.Rd
man/show-USL-method.Rd
man/usl.Rd
man/confint-USL-method.Rd
man/print-USL-method.Rd
man/raytracer.Rd
man/peak.scalability-USL-method.Rd
man/overhead-USL-method.Rd
man/usl.solve.nlxb.Rd
man/usl-package.Rd
man/USL-class.Rd
LICENSE
usl documentation built on May 19, 2017, 10:57 a.m.