Towards Bandwidth Estimation Using Flow-Level Measurements

R. de Oliveira Schmidt, Anna Sperotto, Aiko Pras

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

    7 Citations (Scopus)
    13 Downloads (Pure)


    Bandwidth estimation is one of the prerequisite for efficient link dimensioning. In the past, several approaches to bandwidth estimation have been proposed, ranging from rules-of-thumb providing over-provisioning guidelines to mathematically backed-up provisioning formulas. The limitation of such approaches, in our eyes, is that they largely rely on packet-based measurements, which are almost unfeasible considering nowadays load and speed (1–10 Gbps). In this context, flow-based measurements seems to be a suitable alternative, addressing both data aggregation as well as scalability issues. However, flows pose a challenge for bandwidth estimation, namely the coarser data granularity compared to packet-based approaches, which can lead to a lower precision in the estimation of the needed bandwidth. In this paper, we investigate what is the impact of flow-based measurements on bandwidth estimation. In particular, we are interested in quantifying the impact of flows on main statistical traffic characteristics, in particular the traffic rate variance. Our approach is validated on real traffic traces captured from 2002 to 2011 at the University of Twente.
    Original languageUndefined
    Title of host publication6th International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2012
    EditorsR. Sadre, Jiri Novotny, Pavel Celeda, Martin Waldburger, Burkhard Stiller
    Place of PublicationBerlin
    Number of pages12
    ISBN (Print)978-3-642-30632-7
    Publication statusPublished - Jun 2012

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    • METIS-287880
    • Bandwidth provisioning
    • IR-81209
    • flow measurements
    • IPFIX
    • EWI-21928
    • NetFlow

    Cite this

    de Oliveira Schmidt, R., Sperotto, A., & Pras, A. (2012). Towards Bandwidth Estimation Using Flow-Level Measurements. In R. Sadre, J. Novotny, P. Celeda, M. Waldburger, & B. Stiller (Eds.), 6th International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2012 (pp. 127-138). (Lecture Notes in Computer Science; Vol. 7279/2012). Berlin: Springer.