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 |
DOI: |
10.32614/CRAN.package.hpcwld |
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 |
Documentation:
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