MATEC Web Conf.
Volume 75, 20162016 International Conference on Measurement Instrumentation and Electronics (ICMIE 2016)
|Number of page(s)||4|
|Section||Computer Application Technology|
|Published online||01 September 2016|
Cluster management of computing resources
1 Ryazan State University, Ryazan, Russian Federation
2 Ryazan State Radio Engineering University, Ryazan, Russian Federation
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.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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