Autor:
Współtwórca:
Korbicz, Józef - red. ; Uciński, Dariusz - red.
Tytuł:
Adaptive control of cluster-based Web systems using neuro-fuzzy models
Tytuł publikacji grupowej:
Temat i słowa kluczowe:
neuro-fuzzy model ; request distribution ; Web cluster ; QoWS
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 ; 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.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Data wydania:
Typ zasobu:
DOI:
Strony:
Źródło:
AMCS, Volume 22, Number 2 (2012) ; kliknij tutaj, żeby przejść