Adaptive control of cluster-based Web systems using neuro-fuzzy models

DOI10.2478/V10006-012-0027-4zbMath1283.93157OpenAlexW2092498437MaRDI QIDQ5403370

Krzysztof Zatwarnicki

Publication date: 26 March 2014

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/v10006-012-0027-4

zbMATH Keywords

web clusterrequest distributionneuro-fuzzy modelquality of Web services (QoWS)

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) Internet topics (68M11)

Cites Work

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• A new fuzzy-decision based load balancing system for distributed object computing.
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• Rule weights in a neuro-fuzzy system with a hierarchical domain partition
• THE USE OF DATA MINING TO PREDICT WEB PERFORMANCE
• Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
• Fuzzy sets

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