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

    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.
    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
    PublisherSpringer
    Pages600-612
    ISBN (Electronic)978-3-540-30573-6
    ISBN (Print)3-540-24557-X, 978-3-540-24557-5
    DOIs
    Publication statusPublished - 2005
    MoE publication typeA4 Article in a conference publication

    Publication series

    SeriesLecture Notes in Computer Science
    Volume3375
    ISSN0302-9743

    Keywords

    • resource allocation model
    • DRR queuing
    • QoS

    Fingerprint

    Dive into the research topics of 'Revenue-based adaptive deficit round robin'. Together they form a unique fingerprint.

    Cite this