Measurement-Based Network Link Dimensioning

R. de Oliveira Schmidt, Hans Leo van den Berg, Aiko Pras

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

    4 Citations (Scopus)
    16 Downloads (Pure)

    Abstract

    The ever increasing traffic demands and the current trend of network and services virtualization calls for effective approaches for optimal use of network resources. In the future Internet multiple virtual networks will coexist on top of the same physical infrastructure, and these will compete for bandwidth resources. Link dimensioning can support fair share and allocation of bandwidth. Current approaches however, are ineffective at smaller timescales or require traffic measurements that are not easy to obtain. In this thesis we focused on easy to deploy and accurate link dimensioning approaches for the future Internet. The start point of our work is a dimensioning formula, proposed in 2006, built upon the assumption of Gaussian traffic. This formula is able to accurately estimate required capacity at very small timescales. To do so it requires traffic statistics that can be obtained from packet captures. The contribution of this thesis is threefold. First, we prove that the assumption of Gaussian traffic holds for current Internet traffic and, hence, the dimensioning formula can still be applied. Second, instead of relying on costly packet captures, we develop and validate link dimensioning approaches that estimate the needed traffic statistics from measurement data obtained via technologies that are largely found in today's networks (namely, sFlow and NetFlow/IPFIX). Our approaches are able to accurately estimate required capacity at timescales as low as 1ms. Last, we propose a link dimensioning approach that uses measured data from the recent and already widely available OpenFlow. We also investigate the quality of flow-level measurements in current implementations of OpenFlow, and demonstrate that these are not yet accurate enough for link dimensioning purposes.
    Original languageUndefined
    Title of host publicationProceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM 2015)
    Place of PublicationUSA
    PublisherIEEE
    Pages1071-1077
    Number of pages7
    ISBN (Print)978-3-901882-76-0
    DOIs
    Publication statusPublished - May 2015
    EventIFIP/IEEE International Symposium on Integrated Network Management 2015: Integrated Management in the Age of Big Data - Ottawa, Canada
    Duration: 11 May 201515 May 2015
    http://im2015.ieee-im.org/

    Publication series

    Name
    PublisherIEEE

    Conference

    ConferenceIFIP/IEEE International Symposium on Integrated Network Management 2015
    Abbreviated titleIM 2015
    CountryCanada
    CityOttawa
    Period11/05/1515/05/15
    Internet address

    Keywords

    • EWI-26752
    • METIS-315565
    • IR-99319

    Cite this

    de Oliveira Schmidt, R., van den Berg, H. L., & Pras, A. (2015). Measurement-Based Network Link Dimensioning. In Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM 2015) (pp. 1071-1077). USA: IEEE. https://doi.org/10.1109/INM.2015.7140435
    de Oliveira Schmidt, R. ; van den Berg, Hans Leo ; Pras, Aiko. / Measurement-Based Network Link Dimensioning. Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM 2015). USA : IEEE, 2015. pp. 1071-1077
    @inproceedings{ad6b8e5e54424694bda59116a5724871,
    title = "Measurement-Based Network Link Dimensioning",
    abstract = "The ever increasing traffic demands and the current trend of network and services virtualization calls for effective approaches for optimal use of network resources. In the future Internet multiple virtual networks will coexist on top of the same physical infrastructure, and these will compete for bandwidth resources. Link dimensioning can support fair share and allocation of bandwidth. Current approaches however, are ineffective at smaller timescales or require traffic measurements that are not easy to obtain. In this thesis we focused on easy to deploy and accurate link dimensioning approaches for the future Internet. The start point of our work is a dimensioning formula, proposed in 2006, built upon the assumption of Gaussian traffic. This formula is able to accurately estimate required capacity at very small timescales. To do so it requires traffic statistics that can be obtained from packet captures. The contribution of this thesis is threefold. First, we prove that the assumption of Gaussian traffic holds for current Internet traffic and, hence, the dimensioning formula can still be applied. Second, instead of relying on costly packet captures, we develop and validate link dimensioning approaches that estimate the needed traffic statistics from measurement data obtained via technologies that are largely found in today's networks (namely, sFlow and NetFlow/IPFIX). Our approaches are able to accurately estimate required capacity at timescales as low as 1ms. Last, we propose a link dimensioning approach that uses measured data from the recent and already widely available OpenFlow. We also investigate the quality of flow-level measurements in current implementations of OpenFlow, and demonstrate that these are not yet accurate enough for link dimensioning purposes.",
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    author = "{de Oliveira Schmidt}, R. and {van den Berg}, {Hans Leo} and Aiko Pras",
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    de Oliveira Schmidt, R, van den Berg, HL & Pras, A 2015, Measurement-Based Network Link Dimensioning. in Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM 2015). IEEE, USA, pp. 1071-1077, IFIP/IEEE International Symposium on Integrated Network Management 2015, Ottawa, Canada, 11/05/15. https://doi.org/10.1109/INM.2015.7140435

    Measurement-Based Network Link Dimensioning. / de Oliveira Schmidt, R.; van den Berg, Hans Leo; Pras, Aiko.

    Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM 2015). USA : IEEE, 2015. p. 1071-1077.

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

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    N2 - The ever increasing traffic demands and the current trend of network and services virtualization calls for effective approaches for optimal use of network resources. In the future Internet multiple virtual networks will coexist on top of the same physical infrastructure, and these will compete for bandwidth resources. Link dimensioning can support fair share and allocation of bandwidth. Current approaches however, are ineffective at smaller timescales or require traffic measurements that are not easy to obtain. In this thesis we focused on easy to deploy and accurate link dimensioning approaches for the future Internet. The start point of our work is a dimensioning formula, proposed in 2006, built upon the assumption of Gaussian traffic. This formula is able to accurately estimate required capacity at very small timescales. To do so it requires traffic statistics that can be obtained from packet captures. The contribution of this thesis is threefold. First, we prove that the assumption of Gaussian traffic holds for current Internet traffic and, hence, the dimensioning formula can still be applied. Second, instead of relying on costly packet captures, we develop and validate link dimensioning approaches that estimate the needed traffic statistics from measurement data obtained via technologies that are largely found in today's networks (namely, sFlow and NetFlow/IPFIX). Our approaches are able to accurately estimate required capacity at timescales as low as 1ms. Last, we propose a link dimensioning approach that uses measured data from the recent and already widely available OpenFlow. We also investigate the quality of flow-level measurements in current implementations of OpenFlow, and demonstrate that these are not yet accurate enough for link dimensioning purposes.

    AB - The ever increasing traffic demands and the current trend of network and services virtualization calls for effective approaches for optimal use of network resources. In the future Internet multiple virtual networks will coexist on top of the same physical infrastructure, and these will compete for bandwidth resources. Link dimensioning can support fair share and allocation of bandwidth. Current approaches however, are ineffective at smaller timescales or require traffic measurements that are not easy to obtain. In this thesis we focused on easy to deploy and accurate link dimensioning approaches for the future Internet. The start point of our work is a dimensioning formula, proposed in 2006, built upon the assumption of Gaussian traffic. This formula is able to accurately estimate required capacity at very small timescales. To do so it requires traffic statistics that can be obtained from packet captures. The contribution of this thesis is threefold. First, we prove that the assumption of Gaussian traffic holds for current Internet traffic and, hence, the dimensioning formula can still be applied. Second, instead of relying on costly packet captures, we develop and validate link dimensioning approaches that estimate the needed traffic statistics from measurement data obtained via technologies that are largely found in today's networks (namely, sFlow and NetFlow/IPFIX). Our approaches are able to accurately estimate required capacity at timescales as low as 1ms. Last, we propose a link dimensioning approach that uses measured data from the recent and already widely available OpenFlow. We also investigate the quality of flow-level measurements in current implementations of OpenFlow, and demonstrate that these are not yet accurate enough for link dimensioning purposes.

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    M3 - Conference contribution

    SN - 978-3-901882-76-0

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    de Oliveira Schmidt R, van den Berg HL, Pras A. Measurement-Based Network Link Dimensioning. In Proceedings of the 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM 2015). USA: IEEE. 2015. p. 1071-1077 https://doi.org/10.1109/INM.2015.7140435