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

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.

Install the latest version of this package by entering the following in R:
install.packages("hpcwld")
AuthorAlexander Rumyantsev [aut, cre]
Date of publication2015-02-17 19:32:19
MaintainerAlexander Rumyantsev <ar0@sampo.ru>
LicenseGPL (>= 2)
Version0.5
http://www.r-project.org
http://cluster.krc.karelia.ru

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