NDLI: Enhancing revenue maximization with adaptive WRR

Content Provider	IEEE Xplore Digital Library
Author	Joutsensalo, J. Gomzikov, O. Hamalainen, T. Luostarinen, K.
Copyright Year	2003
Description	Author affiliation: Dept. of Mathematical Information Technol. Telecommun., Jyvaskyla Univ., Finland (Joutsensalo, J.; Gomzikov, O.; Hamalainen, T.)
Abstract	In the future converged wireless and wired networks will be required to provide support to a number of different types of traffic, each with its own particular characteristics and quality of service parameters including e.g. guaranteed bandwidth, jitter, and latency. The customers of different classes pay different prices to the service provider, who must share resources in a plausible way. Differentiation can be implemented by using a multiqueue system, where each queue corresponds to one service class. In this paper, an adaptive weighted round robin (WRR) based algorithm for traffic allocation is presented and studied in the single node case. The weights in the adaptive gradient type WRR algorithm are updated using revenue as a target function. Due to the adaptive nature of the algorithm, it can operate in the nonstationary environments. In addition, it is nonparametric and deterministic in the sense that any assumptions about call density functions or duration distributions are not made.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Simulation IEEE Commun. Soc
Starting Page	175
Ending Page	180
File Size	437597
Page Count	6
File Format	PDF
ISBN	076951961X
ISSN	15301346
DOI	10.1109/ISCC.2003.1214119
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-03
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Round robin Traffic control Quality of service Delay effects Information technology Telecommunication traffic Bandwidth Clocks Jitter Density functional theory
Content Type	Text
Resource Type	Article
Subject	Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software

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