Dynamic-Distributed Differentiated Service for Multimedia Applications
DSN '00 Proceedings of the 2000 International Conference on Dependable Systems and Networks (formerly FTCS-30 and DCCA-8)
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ICASSP '94 Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04
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This article proposes a network Quality of Service (QoS) system named Fuzzy-based Dynamic Bandwidth Allocation (FDBA) system which partitions network traffic into several channels and then recommends a suitable queuing strategy to network administrator so that user traffic and heterogeneous data packets of different classes can be properly multiplexed. Class Based Weight Fair Queuing (CBWFQ) is deployed as the congestion resolution mechanism. Markov Modulate Poisson Process (MMPP) is encompassed to model network traffic. Expectation Maximization is used to estimate MMPP parameters. Fuzzy is also invoked to calculate the bandwidth reserved for a channel. Reserving bandwidth guarantees the least network traffic, while declaring threshold of queue limit defines the priority of a class. A packet with higher priority will be delivered with higher probability. Moreover, FDBA can automatically tune its QoS parameters to adapt various network traffic, thus decreasing managerial load and providing user a higher network service quality.