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>.

Package details

AuthorAlexander Rumyantsev [aut, cre]
MaintainerAlexander Rumyantsev <ar0@sampo.ru>
LicenseGPL (>= 2)
Version0.7
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("hpcwld", repos="http://R-Forge.R-project.org")

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hpcwld documentation built on March 19, 2024, 3:09 a.m.