Using Fuzzy Logic Intellect Spatial Control to Provide Traffic Managerial Service Under High Speedy Networks
A class of explicit congestion control protocols has been proposed to signal network traffic level more precisely by using multiple bits. In view of the fast-growing Internet traffic, this paper propose a distributed traffic management framework, in which routers are deployed with intelligent data rate controllers to tackle the traffic mass. Unlike other explicit traffic control protocols that have to estimate network parameters (e.g., link latency, bottleneck bandwidth, packet loss rate, or the number of flows) in order to compute the allowed source sending rate, their 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 (Quality of Service) is assured by the good performances of their scheme such as max-min fairness, low queueing delay and good robustness to network dynamics.