|
Abstract
|
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
Submitted: 2011 April, 18
Accepted: 2011 June, 02
Published: 2011 September, 30 |
Abstract:
|
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.
Key words: Bandwidth, inference engine, response time, throughput, traffic, ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
A.O. Ajayi, G.A. Aderounmu, E.A. Olajubu and S.A. Bello, . Fuzzy Logic Based Quality of Service Broker Model: Simulation in Simulink. Research Journal of Information Technology , (2): 72-78.
|
|
|
|
 |
ISSN (Online): 2041-3114
ISSN (Print): 2041-3106 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
