Cluster management of computing resources

Abstract

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.