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2011 (Vol. 3, Issue: 2)
Article Information:

Fuzzy Logic Based Quality of Service Broker Model: Simulation in Simulink

A.O. Ajayi, G.A. Aderounmu, E.A. Olajubu and S.A. Bello
Corresponding Author:  Anuoluwapo Olanrewaju Ajayi 

Key words:  Bandwidth, inference engine, response time, throughput, traffic, ,
Vol. 3 , (2): 72-78
Submitted Accepted Published
2011 April, 18 2011 June, 02 2011 September, 30

Today, increasingly complex control problems abound, for which mathematical modelling representations may be difficult to obtain. This study relied on the reported strength of the fuzzy logic technique in controlling highly nonlinear systems to improve the user perceived Quality of Service (QoS) of the web application. The fuzzy logic based QoS broker model was designed, modelled, and simulated using MATLAB 7.0; its performance was evaluated using two QoS parameters: Response time and throughput. The simulation results revealed an increase in throughput as well as a reduction in response times perceived by the clients.
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  Cite this Reference:
A.O. Ajayi, G.A. Aderounmu, E.A. Olajubu and S.A. Bello, 2011. Fuzzy Logic Based Quality of Service Broker Model: Simulation in Simulink.  Research Journal of Information Technology , 3(2): 72-78.
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ISSN (Online):  2041-3114
ISSN (Print):   2041-3106
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