Cluster management of computing resources

Cluster management of computing resources

The study suggests management of computing resources through set-theoretic clustering. The research proposes production modelling of knowledge — rules of managing explicit and fuzzy structures, according to their technical specifications: sustem productivity, number of computing modules, capacity of...

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Main Authors: Ruchkin V.N., Makhmudov M.N., Romanchuk V.A., Fulin V.A., Kostrov B.V.
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20167508004
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spelling doaj-d80c9ea776b54d5092b573b1c4f46fba2021-02-02T04:14:48ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01750800410.1051/matecconf/20167508004matecconf_icmie2016_08004Cluster management of computing resourcesRuchkin V.N.0Makhmudov M.N.1Romanchuk V.A.2Fulin V.A.3Kostrov B.V.4Ryazan State UniversityRyazan State UniversityRyazan State UniversityRyazan State UniversityRyazan State Radio Engineering UniversityThe study suggests management of computing resources through set-theoretic clustering. The research proposes production modelling of knowledge — rules of managing explicit and fuzzy structures, according to their technical specifications: sustem productivity, number of computing modules, capacity of microprocessor memory, etc. The paper describes an algorithm of “evaluation of management criterion value”, according to the additive utility function.http://dx.doi.org/10.1051/matecconf/20167508004
collection DOAJ
language English
format Article
sources DOAJ
author Ruchkin V.N.
Makhmudov M.N.
Romanchuk V.A.
Fulin V.A.
Kostrov B.V.
spellingShingle Ruchkin V.N.
Makhmudov M.N.
Romanchuk V.A.
Fulin V.A.
Kostrov B.V.
Cluster management of computing resources
MATEC Web of Conferences
author_facet Ruchkin V.N.
Makhmudov M.N.
Romanchuk V.A.
Fulin V.A.
Kostrov B.V.
author_sort Ruchkin V.N.
title Cluster management of computing resources
title_short Cluster management of computing resources
title_full Cluster management of computing resources
title_fullStr Cluster management of computing resources
title_full_unstemmed Cluster management of computing resources
title_sort cluster management of computing resources
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description The study suggests management of computing resources through set-theoretic clustering. The research proposes production modelling of knowledge — rules of managing explicit and fuzzy structures, according to their technical specifications: sustem productivity, number of computing modules, capacity of microprocessor memory, etc. The paper describes an algorithm of “evaluation of management criterion value”, according to the additive utility function.
url http://dx.doi.org/10.1051/matecconf/20167508004
work_keys_str_mv AT ruchkinvn clustermanagementofcomputingresources
AT makhmudovmn clustermanagementofcomputingresources
AT romanchukva clustermanagementofcomputingresources
AT fulinva clustermanagementofcomputingresources
AT kostrovbv clustermanagementofcomputingresources
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