R: High Performance Cluster Models Based on Kiefer-Wolfowitz Recursion

# High Performance Cluster Models Based on Kiefer-Wolfowitz Recursion

## Documentation for package ‘hpcwld’ version 0.6-5

- DESCRIPTION file

## Help Pages

hpcwld-package | Model and data for High Performance Cluster workload
ApproxC | Approximate, dynamic iterative computation of the stability constant for a workload of a High Performance Cluster model
DataToSWF | Convertor from a dataframe to Standart Workload Format
DMC | Distributional Measure of Correlation
FromSWF | Convertor to a dataset from a Standart Workload Format
hpcwld | Model and data for High Performance Cluster workload
HPC_KRC | Workload data for High Performance Cluster of High Performance Data Center of Karelian Research Center, Russian Academy of Sciences.
HPC_KRC2 | Workload data for High Performance Cluster of High Performance Data Center of Karelian Research Center, Russian Academy of Sciences.
MaxThroughput2 | This function gives the maximal throughput of a two-server supercomputer (Markov) model with various service speeds, various rates of classes and random speed scaling at arrival/depature
ToSWF | Convertor from a dataset to Standart Workload Format
Wld | Workload of a High Performance Cluster model
X | Dataset with raw workload data from HPDC KRC RAS