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• W2168777510 abstract "In this paper, we explore the analogy between queueing theory and information theory, especially in traffic regulation and source coding. We consider a traffic regulation problem, where an input sequence is mapped to an output sequence. The rate of a regulator is defined to be the peak rate of the output sequence and the performance of a regulator is in terms of loss probability. Under our formulation, we show theorems that are analogous to Shannon's source coding theorem and the universal block coding theorem. For real-time traffic regulators that have a maximum delay constraint the trade-off between delay and loss probability is characterized by the recently developed notion of effective bandwidth." @default.
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• W2168777510 date "2002-12-24" @default.
• W2168777510 modified "2023-09-23" @default.
• W2168777510 title "Fundamental limits of traffic regulation and their connections to source coding" @default.
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• W2168777510 doi "https://doi.org/10.1109/cdc.1996.574484" @default.
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