Comparison and analysis of the revenue-based adaptive queuing models

Authors:
Alexander Sayenko;Timo Hämäläinen;Jyrki Joutsensalo;Lari Kannisto
Affiliations:
University of Jyväskylä MIT Department, Mattilaniemi (Agora), Jyväskylä, Finland;University of Jyväskylä MIT Department, Mattilaniemi (Agora), Jyväskylä, Finland;University of Jyväskylä MIT Department, Mattilaniemi (Agora), Jyväskylä, Finland;University of Jyväskylä MIT Department, Mattilaniemi (Agora), Jyväskylä, Finland
Venue:
Computer Networks: The International Journal of Computer and Telecommunications Networking - Selected papers from the 3rd international workshop on QoS in multiservice IP networks (QoS-IP 2005)
Year:
2006

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Abstract

This paper presents several adaptive resource sharing models that use a revenue criterion to allocate bandwidth in an optimal way. The models ensure QoS requirements of data flows and, at the same time, maximize the total revenue by adjusting parameters of the underlying schedulers. Besides, the adaptive models eliminate the need to find the optimal static weight values because they are calculated dynamically. The simulation consists of several cases that analyse the models and the way they provide the required QoS guarantees. The simulation reveals that the installation of the adaptive model increases the total revenue and ensures the QoS requirements for all service classes. The paper also presents how the adaptive models can be integrated with the IntServ and DiffServ QoS frameworks.