Share Email Print

Proceedings Paper

Revenue-maximization-based adaptive WFQ
Author(s): Jyrki Joutsensalo; Timo Hamalainen; Jian Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 3 September 2002
PDF: 10 pages
Proc. SPIE 4907, Optical Switching and Optical Interconnection II, (3 September 2002); doi: 10.1117/12.482260
Show Author Affiliations
Jyrki Joutsensalo, Univ. of Jyvaskyla (Finland)
Timo Hamalainen, Univ. of Jyvaskyla (Finland)
Jian Zhang, Univ. of Jyvaskyla (Finland)

Published in SPIE Proceedings Vol. 4907:
Optical Switching and Optical Interconnection II
Lih-Yuan Lin; Yimo Zhang; Kimio Oguchi, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?