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Optoelectronic neural-network scheduler for packet switches
2000
Applied Optics
A novel, to our knowledge, type of packet scheduler that could significantly outperform current state-ofthe-art schedulers is presented. The operation and the design of such a scheduler are discussed, and a fully operational experimental implementation is described. The scheduler uses a neural network in a winner-take-all strategy to optimize decisions on the throughput of both a crossbar and a banyan switching fabric. The problems of high interconnection density are solved by use of a
doi:10.1364/ao.39.000788
pmid:18337955
fatcat:d7kbzh2zwbfpdhflb6ytq4txoe