Revenue-maximization-based adaptive WFQ

Jyrki Joutsensalo; Timo Hamalainen; Jian Zhang

doi:10.1117/12.482260

3 September 2002 Revenue-maximization-based adaptive WFQ

Jyrki Joutsensalo, Timo Hamalainen, Jian Zhang

Proceedings Volume 4907, Optical Switching and Optical Interconnection II; (2002) https://doi.org/10.1117/12.482260
Event: Asia-Pacific Optical and Wireless Communications 2002, 2002, Shanghai, China

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.

Citation Download Citation

Jyrki Joutsensalo, Timo Hamalainen, and Jian Zhang "Revenue-maximization-based adaptive WFQ", Proc. SPIE 4907, Optical Switching and Optical Interconnection II, (3 September 2002); https://doi.org/10.1117/12.482260

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