Abstract
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.
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Leu, FY., Yan, SJ., Chang, WK. (2005). Fuzzy-Based Dynamic Bandwidth Allocation System. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_114
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DOI: https://doi.org/10.1007/11540007_114
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28331-7
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