pre_compute_models_background: Precomputation for Clustering and Runtime Distribution for...

In carlonlv/DataCenterSim: Simulations for Data Centers

Description

Precomputation for Clustering and Runtime Distribution for Background Jobs

Usage

pre_compute_models_background(
  load_background_result = NULL,
  param_setting_pred = NULL,
  additional_param_pred = list(),
  background_x = NULL,
  background_xreg = NULL,
  bins = c(0, 1, 2, 6, 10, 14, 18, 22, 26, 30, 50, 80, 205)
)

Arguments

load_background_result	NULL or a character representing the destined load/save file path.
param_setting_pred	NULL or a dataframe representing the parameter setting of simulation.
additional_param_pred	NULL or a list of additional parameter settings of simulation.
background_x	NULL or a matrix or dataframe representing runtime observations.
background_xreg	NULL or a matrix or dataframe representing the regressors corresponding to background_x.
bins	NULL or a numeric vector representing the discretization of window sizes.

Value

A list containing all input variables and "prob_vec_lst" and "bg_predict_info_lst".

carlonlv/DataCenterSim documentation built on Jan. 9, 2022, 3:26 p.m.