Global Distribution of HTTP Requests Using the Fuzzy-Neural Decision-Making Mechanism

Authors:
Leszek Borzemski;Anna Zatwarnicka;Krzysztof Zatwarnicki
Affiliations:
Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland;Faculty of Electrical Engineering, Institute of Automatic Control and Computer Science, Opole University of Technology, Opole, Poland;Faculty of Electrical Engineering, Institute of Automatic Control and Computer Science, Opole University of Technology, Opole, Poland
Venue:
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Year:
2009

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Abstract

This paper presents the HTTP request global distribution using the fuzzy-neural decision making mechanism. Two efficient algorithms GARDiB and GARDiB2 are proposed to support HTTP request routing to the Websites. The algorithms use the fuzzy-neural decision-making method to assign each incoming request to the Website with the least expected response time. The response time includes the transmission time over the network; as well as the time elapsed on the responding Website server. Simulation experiments showed that GARDiB performed slightly better than GARDiB2 and both proposed algorithms outperformed other competitive distribution algorithms in all simulated workload scenarios.