Korbicz, Józef - red. ; Uciński, Dariusz - red.
Adaptive control of cluster-based Web systems using neuro-fuzzy models
Group publication title:
Subject and Keywords:
neuro-fuzzy model ; request distribution ; Web cluster ; QoWS
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 ; 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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, Volume 22, Number 2 (2012) ; click here to follow the link