Using adaptive fuzzy-neural control to minimize response time in cluster-based web systems

Authors:
Leszek Borzemski;Krzysztof Zatwarnicki
Affiliations:
Institute of Information Science and Engineering, Wroclaw University of Technology, Wroclaw, Poland;Department of Electrical Engineering and Automatic Control, Technical University of Opole, Opole, Poland
Venue:
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Year:
2005

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Abstract

We have developed content-aware request distribution algorithm called FARD which is a client-and-server-aware, dynamic and adaptive distribution policy in cluster-based Web systems. It assigns each incoming request to the server with the least expected response time. To estimate the expected response times it uses the fuzzy estimation mechanism. The system is adaptive as it uses a neural network learning ability for its adaptation. Simulations based on traces from the 1998 World Cup show that when we consider the response time, FARD can be more effective than the state-of-the-art content-aware policy LARD.