combined_sim_job_centered: Combinations of Predictions of Background Jobs and Foreground...
In carlonlv/DataCenterSim: Simulations for Data Centers

Sequentially training and testing by predicting the availability of CPU resource at next windows.

combined_sim_job_centered(
  load_foreground_result = NULL,
  param_setting_sim = NULL,
  additional_param_sim = list(),
  foreground_x = NULL,
  foreground_xreg = NULL,
  sim_length = 200,
  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),
  cores = parallel::detectCores(),
  write_type = "none",
  result_loc = getwd()
)

`load_foreground_result`	A character value representing the location of the previously run foregound simulation results. Default value is `NULL`.
`param_setting_sim`	A dataframe representing a specific parameter setting for sim object.
`additional_param_sim`	A list containing additional arguments to be passed into param_sim.
`foreground_x`	A matrix of size n by m representing the target dataset for scheduling and evaluations.
`foreground_xreg`	A matrix of size n by m representing the target dataset for scheduling and evaluations, or `NULL`.
`sim_length`	A numeric integer representing the length of time for simulation, training size excluded.
`load_background_result`	A character value representing the location of the previously run foregound simulation results. Default value is `NULL`.
`param_setting_pred`	A dataframe representing a specific parameter setting for pred object.
`additional_param_pred`	A list containing additional arguments to be passed into param_pred.
`background_x`	A matrix of size n by m representing the target dataset for scheduling and evaluations.
`background_xreg`	A matrix of size n by m representing the dataset that target dataset depends on for predicting.
`bins`	A numeric vector representing the discretization will be used on background job length, the first value representing the lower bound such as `0`, last value representing the upper bound such as `205`.
`cores`	A numeric value representing the number of threads for parallel programming for multiple traces, not supported for windows users.
`write_type`	A character that represents how to write the result of simulation, can be "detailed", "summary" or "none". Default value is `"none"`.
`result_loc`	A character that specify the path to which the result of simulations will be saved to. Default is your work directory.
`constraint_prob`	A numeric value representing the cut off for survival probability of a job to be scheduled.
`heartbeats_percent`	A numeric value representing the percentage of sampled machines will periodically send "heat beats", which is the availability information to the scheduler. Default value is `1`.
`machines_full_indicator`	An numeric value that is used to identify whether all machines are full. The scheduler believes the machines are full after `machines_full_indicator` successive failures in scheduling.