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2012 | 22 | 2 | 365-377
Tytuł artykułu

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

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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 of Web servers in the decision-making process. The neuro-fuzzy model which is applied is discussed in detail and a design of the Web 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.
Słowa kluczowe
Rocznik
Tom
22
Numer
2
Strony
365-377
Opis fizyczny
Daty
wydano
2012
otrzymano
2011-03-03
poprawiono
2011-08-12
poprawiono
2011-09-28
Twórcy
  • Department of Electrical, Control and Computer Engineering, Opole University of Technology, ul. Sosnkowskiego 31, 45-272 Opole, Poland
Bibliografia
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  • Borzemski, L. and Zatwarnicki, K. (2003). A fuzzy adaptive request distribution algorithm for cluster-based web systems, 11th Euromicro Workshop on Parallel, Distributed and Network-Based Processing, PDP 2003, Genoa, Italy, pp. 119-126.
  • Borzemski, L. and Zatwarnicki, K. (2006). Fuzzy-neural web switch supporting differentiated service, in B. Gabrys, R.J. Howlett and L.C. Jain (Eds.), Knowledge-Based Intelligent Information and Engineering Systems, Lecture Notes in Artificial Intelligence, Vol. 4252, Springer-Verlag, Berlin/Heidelberg, pp. 195-203.
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  • Zatwarnicki, K. (2010). Neuro-fuzzy models in global HTTP request distribution, in J. Pan, S. Chen and N.T. Nguyen (Eds.), Computational Collective Intelligence, Lecture Notes in Computer Science, Vol. 6421, Springer-Verlag, Berlin/Heidelberg, pp. 1-10.
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Typ dokumentu
Bibliografia
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