Buffer management using genetic algorithms and neural networks

Li Der Chou, Jean Lien C. Wu

研究成果: 會議貢獻類型會議論文同行評審

4 引文 斯高帕斯(Scopus)

摘要

In ATM networks, many control mechanisms were proposed to manage buffers by introducing control parameters which are adjustable by network providers. However, it is difficult to adaptively select these control parameters in ATM networks for the traffic environmental is much more complicated. In this paper, we propose a control scheme using the genetic algorithms and the neural estimator in the buffer management of an ATM switch. Simulation results demonstrate that even if the traffic environment and the service requirements are dynamically changing, the proposed control scheme is still effective in adaptively selecting control parameters.

原文???core.languages.en_GB???
頁面1333-1337
頁數5
出版狀態已出版 - 1995
事件Proceedings of the 1995 IEEE Global Telecommunications Conference. Part 2 (of 3) - Singapore, Singapore
持續時間: 14 11月 199516 11月 1995

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???event.eventtypes.event.conference???Proceedings of the 1995 IEEE Global Telecommunications Conference. Part 2 (of 3)
城市Singapore, Singapore
期間14/11/9516/11/95

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