6533b854fe1ef96bd12ade4a
RESEARCH PRODUCT
<title>Revenue-maximization-based adaptive WFQ</title>
Timo HämäläinenJian ZhangJyrki Joutsensalosubject
RouterService qualityVoice over IPAdaptive algorithmbusiness.industryNetwork packetComputer scienceQuality of serviceReal-time computingService providerTelecommunications networklaw.inventionlawInternet ProtocolRevenueThe InternetbusinessQueueWeighted fair queueingComputer networkdescription
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 traAEc allocation is presented and studied. The weights in gradient type WFQ algorithm are adapted using revenue as a target function.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2002-09-02 | SPIE Proceedings |