Revenue-based adaptive deficit round robin

Alexander Sayenko, Timo Hämäläinen, Jyrki Joutsensalo, Pertti Raatikainen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review


This paper presents an adaptive resource allocation model that is based on the DRR queuing policy. The model ensures QoS requirements and tries to maximize a service provider’s revenue by manipulating quantum values of the DRR scheduler. To calculate quantum values, it is proposed to use the revenue criterion that controls the allocation of free resources. The simulation considers a single node with the implemented model that serves several service classes with different QoS requirements and traffic characteristics. It is shown that the total revenue can be increased due to the allocation of unused resources to more expensive service classes. At the same time, bandwidth and delay guarantees are provided. Furthermore, the adaptive model eliminates the need to find the optimal static quantum values because they are calculated dynamically.
Original languageEnglish
Title of host publicationQuality of Service in Multiservice IP Networks
Subtitle of host publicationThird International Workshop, QoS-IP 2005, Catania, Italy, February 2-4 2004
EditorsMarco Ajmone Marsan, Giuseppe Bianchi, Marco Listanti, Michela Meo
ISBN (Electronic)978-3-540-30573-6
ISBN (Print)3-540-24557-X, 978-3-540-24557-5
Publication statusPublished - 2005
MoE publication typeA4 Article in a conference publication

Publication series

SeriesLecture Notes in Computer Science


  • resource allocation model
  • DRR queuing
  • QoS

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    Sayenko, A., Hämäläinen, T., Joutsensalo, J., & Raatikainen, P. (2005). Revenue-based adaptive deficit round robin. In M. Ajmone Marsan, G. Bianchi, M. Listanti, & M. Meo (Eds.), Quality of Service in Multiservice IP Networks: Third International Workshop, QoS-IP 2005, Catania, Italy, February 2-4 2004 (pp. 600-612). Springer. Lecture Notes in Computer Science, Vol.. 3375