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.

Version: 0.5
Depends: R (≥ 2.10), multicool, partitions
Published: 2015-02-17
Author: Alexander Rumyantsev [aut, cre]
Maintainer: Alexander Rumyantsev <ar0 at sampo.ru>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.r-project.org, http://cluster.krc.karelia.ru
NeedsCompilation: no
CRAN checks: hpcwld results


Reference manual: hpcwld.pdf
Package source: hpcwld_0.5.tar.gz
Windows binaries: r-devel: hpcwld_0.5.zip, r-release: hpcwld_0.5.zip, r-oldrel: hpcwld_0.5.zip
OS X binaries: r-release: hpcwld_0.5.tgz, r-oldrel: hpcwld_0.5.tgz
Old sources: hpcwld archive


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