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  Journal Paper

Paper Title :
Fuzzy Logic Used for Network Service Maximization


Article Citation :R.NAGA POORNIMA ,K.KOTESWAR RAO , (2014 ) " Fuzzy Logic Used for Network Service Maximization " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 15-22, Volume-2, Issue-12

Abstract : A dispersed 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 total the allowed source sending rate, our fuzzy-logic-based manager 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 statement 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. It is well known that max-weight policies based on a queue backlog index can be used to stabilize stochastic networks, and that similar stability results hold if a delay index is used. Using Lyapunov optimization, we extend this analysis to design a utility maximizing algorithm that uses explicit delay informati on from the head-of-line packet at each user. The resulting policy is shown to ensure deterministic worst-case delay guarantees and to yield a throughput utility that differs from the optimally fair value by an amount that is inversely relative to the delay guarantee. Our results hold for a general class of 1-hop networks, including packet switches and multiuser wireless systems with time- varying reliability.

Type : Research paper

Published : Volume-2, Issue-12


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