Performance evaluation of fuzzy-neural HTTP request distribution for web clusters

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:
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

In this paper we present the performance evaluation of our fuzzy-neural HTTP request distribution algorithm called FNRD, which assigns each incoming request to the server in the Web cluster with the quickest expected response time. The fuzzy mechanism is used to estimate the expected response times. A neural-based feedback loop is used for real-time tuning of response time estimates. To evaluate the system, we have developed a detailed simulation and workload model using CSIM19 package. Our simulations show that FNRD can be more effective than its competitors.