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hpcwld (version 0.5)

High Performance Cluster Models Based on Kiefer-Wolfowitz Recursion

Description

Probabilistic models describing the behavior of workload and queue on a High Performance Cluster and computing GRID under FIFO service discipline basing on modified Kiefer-Wolfowitz recursion. Also sample data for inter-arrival times, service times, number of cores per task and waiting times of HPC of Karelian Research Centre are included, measurements took place from 06/03/2009 to 02/30/2011. Functions provided to import/export workload traces in Standard Workload Format (swf). Stability condition of the model may be verified either exactly, or approximately.

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Version

Install

install.packages('hpcwld')

Monthly Downloads

245

Version

0.5

License

GPL (>= 2)

Maintainer

Alexander Rumyantsev

Last Published

February 17th, 2015

Functions in hpcwld (0.5)

hpcwld-package

Model and data for High Performance Cluster workload
ToSWF

Convertor from a dataset to Standart Workload Format
StabC

Stability constant for a workload of a High Performance Cluster model
DMC

Distributional Measure of Correlation
X

Dataset with raw workload data from HPDC KRC RAS
HPC_KRC

Workload data for High Performance Cluster of High Performance Data Center of Karelian Research Center, Russian Academy of Sciences.
FromSWF

Convertor to a dataset from a Standart Workload Format
Wld

Workload of a High Performance Cluster model
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
HPC_KRC2

Workload data for High Performance Cluster of High Performance Data Center of Karelian Research Center, Russian Academy of Sciences.