Revenue-Based adaptive deficit round robin

Authors:
Alexander Sayenko;Timo Hämäläinen;Jyrki Joutsensalo;Pertti Raatikainen
Affiliations:
MIT department., University of Jyväskylä, Jyväskylä, Finland;MIT department., University of Jyväskylä, Jyväskylä, Finland;MIT department., University of Jyväskylä, Jyväskylä, Finland;VTT Information Technology (Telecommunications), Espoo, Finland
Venue:
QoS-IP'05 Proceedings of the Third international conference on Quality of Service in Multiservice IP Networks
Year:
2005

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Abstract

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.