ABSTRACT
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, our 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. As a network parameter, the queue
size can be accurately monitored and used to proactively decide if action
should be taken to regulate the source sending rate, thus increasing the
resilience of the network to traffic congestion. The communication QoS (Quality
of Service) is assured by the good performances of our scheme 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 our new traffic management scheme can achieve better performances than the
existing protocols that rely on the estimation of network parameters.
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