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RESTK (version 1.0.1)

An Implementation of the RESTK Algorithm

Description

Implementation of the RESTK algorithm based on Markov's Inequality from Vilardell, Sergi, Serra, Isabel, Mezzetti, Enrico, Abella, Jaume, Cazorla, Francisco J. and Del Castillo, J. (2022). "Using Markov's Inequality with Power-Of-k Function for Probabilistic WCET Estimation". In 34th Euromicro Conference on Real-Time Systems (ECRTS 2022). Leibniz International Proceedings in Informatics (LIPIcs) 231 20:1-20:24. . This work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 772773).

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Version

Install

install.packages('RESTK')

Monthly Downloads

146

Version

1.0.1

License

GPL-3

Maintainer

Sergi Vilardell

Last Published

March 12th, 2025

Functions in RESTK (1.0.1)

linear_adjust

Linear adjust
tightness

Tightness function
RESTK_training

RESTK Training
sample_quantile_estimation

Estimate Quantiles within the Sample
RESTK

RESTK
estimate_quantiles_maxk

Estimate Quantiles with Maxk
compute_maxk

Compute the maximum k for a given sample
RESTK_validation

RESTK Validation
get_min_maxk

Get the minimum maxk