09-09-2014, 10:09 AM
Using Fuzzy Logic Control to Provide Intelligent Traffic Management Service for High-SpeedNetworks Seminar Report
High-SpeedNetworks.docx (Size: 27.35 KB / Downloads: 16)
ABSTRACT
In view of the fast-growing Internet traffic in distributed traffic management framework, routers are deployed with intelligent data rate controllers to tackle the traffic mass. In the existing system traffic control protocols have to estimate network
parameters like link latency, bottleneck bandwidth, packet loss rate or the number of flows in order to compute the allowed source sending rate. As a network parameter, the queue size can be accurately monitored and used to decide if action should be taken to regulate the source sending rate, increasing the resilience of the network to traffic
congestion. In proposed system fuzzy-logic-based controller can measure the router queue size directly. Hence it avoids various potential performance problems arising from parameter estimations while reducing much consumption of computation and memory resources in routers. The communication QoS is assured by the good performances such as max-min fairness, low queueing delay and good robustness to network dynamics.
Simulation results and comparisons have verified the effectiveness and showed that new traffic management scheme can achieve better performance than the existing protocols that rely on the estimation of network parameters.