Expert system of multi-criterion fuzzy management in selection of computing resources

B. Kostrov, V. Ruchkin, M. N. Makhmudov, V. Romanchuk, V. Fulin
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引用次数: 2

Abstract

The paper suggests a new methodology of smart management of computing resources based on set-theoretic explicit and implicit clustering. We have performed frame modeling of knowledge — rules of explicit structures on the basis of explicit clustering, and for fuzzy structures, through implicit clustering. A set of modeling software has been developed for multi-criterion fuzzy management of selection according to various technical specifications: system performance, the number of computing modules, microprogram memory capacity, etc.
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计算资源选择中的多准则模糊管理专家系统
本文提出了一种基于集合论显式和隐式聚类的计算资源智能管理新方法。我们在显式聚类的基础上对显式结构的知识规则进行了框架建模,并通过隐式聚类对模糊结构进行了框架建模。根据系统性能、计算模块数量、微程序内存容量等技术指标,开发了一套多准则模糊管理选型的建模软件。
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