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- W2024861138 abstract "In the future Internet, di erent applications such as Voice over IP (VoIP) and Video-on-Demand (VoD) arise with di erent Quality of Service (QoS) parameters including e.g. guaranteed bandwidth, delay jitter, and latency. Different kinds of service classes (e.g. gold, silver, bronze) arise. The customers of di erent classes pay di erent prices to the service provider, who must share resources in a plausible way. In a router, packets are queued using a multi-queue system, where each queue corresponds to one service class. In this paper, an adaptive Weighted Fair Queue based algorithm for traÆc allocation is presented and studied. The weights in gradient type WFQ algorithm are adapted using revenue as a target function." @default.
- W2024861138 created "2016-06-24" @default.
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- W2024861138 date "2002-09-02" @default.
- W2024861138 modified "2023-09-27" @default.
- W2024861138 title "<title>Revenue-maximization-based adaptive WFQ</title>" @default.
- W2024861138 doi "https://doi.org/10.1117/12.482260" @default.
- W2024861138 hasPublicationYear "2002" @default.
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