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. Stability analysis: see Rumyantsev and Morozov (2017) <doi:10.1007/s10479-015-1917-2>, workload recursion: see Rumyantsev (2014) <doi:10.1109/PDCAT.2014.36>.

Version: 0.6-5
Depends: R (≥ 2.10)
Published: 2022-06-26
Author: Alexander Rumyantsev [aut, cre]
Maintainer: Alexander Rumyantsev <ar0 at sampo.ru>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: hpcwld results


Reference manual: hpcwld.pdf


Package source: hpcwld_0.6-5.tar.gz
Windows binaries: r-devel: hpcwld_0.6-5.zip, r-release: hpcwld_0.6-5.zip, r-oldrel: hpcwld_0.6-5.zip
macOS binaries: r-release (arm64): hpcwld_0.6-5.tgz, r-oldrel (arm64): hpcwld_0.6-5.tgz, r-release (x86_64): hpcwld_0.6-5.tgz
Old sources: hpcwld archive


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