@misc{Zatwarnicki_Krzysztof_Adaptive,
 author={Zatwarnicki, Krzysztof},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={A significant development of Web technologies requires the application of more and more complex systems and algorithms for maintaining high quality of Web services. Presently, not only simple decision-making tools but also complex adaptation algorithms using artificial intelligence techniques are applied for controlling HTTP request traffic. The paper presents a new LFNRD (Local Fuzzy-Neural Adaptive Request Distribution) algorithm for request distribution in cluster-based Web systems using neuro-fuzzy models ofWeb servers in the decision-making process},
 abstract={The neuro-fuzzy model which is applied is discussed in detail and a design of theWeb switch using the proposed solution is presented. Finally, a testbed is described and the results of a comparative simulation study on the LFNRD algorithm, and other algorithms known from the literature and used in the industry, are presented and discussed.},
 type={artykuł},
 title={Adaptive control of cluster-based Web systems using neuro-fuzzy models},
 keywords={neuro-fuzzy model, request distribution, Web cluster, QoWS},
}