Mobility and Bandwidth Prediction as a Service in Virtualized LTE Systems

Morteza Karimzadeh Motallebi Azar, Zhongliang Zhao, Luuk Hendriks, R. de Oliveira Schmidt, Sebastiaan la Fleur, Hans Leo van den Berg, Aiko Pras, Torsten Braun, Marius Julian Corici

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

    12 Citations (Scopus)
    113 Downloads (Pure)

    Abstract

    Recently telecommunication industry benefits from infrastructure sharing, one of the most fundamental enablers of cloud computing, leading to emergence of the Mobile Virtual Network Operator (MVNO) concept. The most momentous intents by this approach are the support of on-demand provisioning and elasticity of virtualized mobile network components, based on data traffic load. To realize it, during operation and management procedures, the virtualized services need be triggered in order to scale-up/down or scale-out/in an service instance. In this paper we propose an architecture called MOBaaS (Mobility and Bandwidth Availability Prediction as a Service), comprising two algorithms in order to predict user(s) mobility and network link bandwidth availability, that can be implemented in cloud based mobile network structure and can be used as a support service by any other virtualized mobile network service. MOBaaS can provide prediction information in order to generate required triggers for on-demand deploying, provisioning, disposing of virtualized network components. This information can be used for self-adaptation procedures and optimal network function configuration during run-time operation, as well. Through the preliminary experiments with the prototype implementation on the OpenStack platform, we evaluated and confirmed the feasibility and the effectiveness of the prediction algorithms and the proposed architecture.
    Original languageUndefined
    Title of host publicationProceedings of the 4th International Conference on Cloud Networking, CloudNet 2015
    Place of PublicationDanvers, MA, USA
    PublisherIEEE
    Pages132-138
    Number of pages7
    ISBN (Print)978-1-4673-9501-4
    DOIs
    Publication statusPublished - 6 Oct 2015

    Publication series

    Name
    PublisherIEEE

    Keywords

    • EWI-26340
    • IR-98280
    • METIS-314979

    Cite this

    Karimzadeh Motallebi Azar, M., Zhao, Z., Hendriks, L., de Oliveira Schmidt, R., la Fleur, S., van den Berg, H. L., ... Julian Corici, M. (2015). Mobility and Bandwidth Prediction as a Service in Virtualized LTE Systems. In Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015 (pp. 132-138). Danvers, MA, USA: IEEE. https://doi.org/10.1109/CloudNet.2015.7335295
    Karimzadeh Motallebi Azar, Morteza ; Zhao, Zhongliang ; Hendriks, Luuk ; de Oliveira Schmidt, R. ; la Fleur, Sebastiaan ; van den Berg, Hans Leo ; Pras, Aiko ; Braun, Torsten ; Julian Corici, Marius. / Mobility and Bandwidth Prediction as a Service in Virtualized LTE Systems. Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015. Danvers, MA, USA : IEEE, 2015. pp. 132-138
    @inproceedings{b760424086714dfeacfbf44895783f0b,
    title = "Mobility and Bandwidth Prediction as a Service in Virtualized LTE Systems",
    abstract = "Recently telecommunication industry benefits from infrastructure sharing, one of the most fundamental enablers of cloud computing, leading to emergence of the Mobile Virtual Network Operator (MVNO) concept. The most momentous intents by this approach are the support of on-demand provisioning and elasticity of virtualized mobile network components, based on data traffic load. To realize it, during operation and management procedures, the virtualized services need be triggered in order to scale-up/down or scale-out/in an service instance. In this paper we propose an architecture called MOBaaS (Mobility and Bandwidth Availability Prediction as a Service), comprising two algorithms in order to predict user(s) mobility and network link bandwidth availability, that can be implemented in cloud based mobile network structure and can be used as a support service by any other virtualized mobile network service. MOBaaS can provide prediction information in order to generate required triggers for on-demand deploying, provisioning, disposing of virtualized network components. This information can be used for self-adaptation procedures and optimal network function configuration during run-time operation, as well. Through the preliminary experiments with the prototype implementation on the OpenStack platform, we evaluated and confirmed the feasibility and the effectiveness of the prediction algorithms and the proposed architecture.",
    keywords = "EWI-26340, IR-98280, METIS-314979",
    author = "{Karimzadeh Motallebi Azar}, Morteza and Zhongliang Zhao and Luuk Hendriks and {de Oliveira Schmidt}, R. and {la Fleur}, Sebastiaan and {van den Berg}, {Hans Leo} and Aiko Pras and Torsten Braun and {Julian Corici}, Marius",
    note = "10.1109/CloudNet.2015.7335295",
    year = "2015",
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    doi = "10.1109/CloudNet.2015.7335295",
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    Karimzadeh Motallebi Azar, M, Zhao, Z, Hendriks, L, de Oliveira Schmidt, R, la Fleur, S, van den Berg, HL, Pras, A, Braun, T & Julian Corici, M 2015, Mobility and Bandwidth Prediction as a Service in Virtualized LTE Systems. in Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015. IEEE, Danvers, MA, USA, pp. 132-138. https://doi.org/10.1109/CloudNet.2015.7335295

    Mobility and Bandwidth Prediction as a Service in Virtualized LTE Systems. / Karimzadeh Motallebi Azar, Morteza ; Zhao, Zhongliang; Hendriks, Luuk; de Oliveira Schmidt, R.; la Fleur, Sebastiaan; van den Berg, Hans Leo; Pras, Aiko; Braun, Torsten; Julian Corici, Marius.

    Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015. Danvers, MA, USA : IEEE, 2015. p. 132-138.

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

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    AU - Karimzadeh Motallebi Azar, Morteza

    AU - Zhao, Zhongliang

    AU - Hendriks, Luuk

    AU - de Oliveira Schmidt, R.

    AU - la Fleur, Sebastiaan

    AU - van den Berg, Hans Leo

    AU - Pras, Aiko

    AU - Braun, Torsten

    AU - Julian Corici, Marius

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    AB - Recently telecommunication industry benefits from infrastructure sharing, one of the most fundamental enablers of cloud computing, leading to emergence of the Mobile Virtual Network Operator (MVNO) concept. The most momentous intents by this approach are the support of on-demand provisioning and elasticity of virtualized mobile network components, based on data traffic load. To realize it, during operation and management procedures, the virtualized services need be triggered in order to scale-up/down or scale-out/in an service instance. In this paper we propose an architecture called MOBaaS (Mobility and Bandwidth Availability Prediction as a Service), comprising two algorithms in order to predict user(s) mobility and network link bandwidth availability, that can be implemented in cloud based mobile network structure and can be used as a support service by any other virtualized mobile network service. MOBaaS can provide prediction information in order to generate required triggers for on-demand deploying, provisioning, disposing of virtualized network components. This information can be used for self-adaptation procedures and optimal network function configuration during run-time operation, as well. Through the preliminary experiments with the prototype implementation on the OpenStack platform, we evaluated and confirmed the feasibility and the effectiveness of the prediction algorithms and the proposed architecture.

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    KW - IR-98280

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    DO - 10.1109/CloudNet.2015.7335295

    M3 - Conference contribution

    SN - 978-1-4673-9501-4

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    BT - Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015

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    Karimzadeh Motallebi Azar M, Zhao Z, Hendriks L, de Oliveira Schmidt R, la Fleur S, van den Berg HL et al. Mobility and Bandwidth Prediction as a Service in Virtualized LTE Systems. In Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015. Danvers, MA, USA: IEEE. 2015. p. 132-138 https://doi.org/10.1109/CloudNet.2015.7335295