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 contribution

  • 5 Citations

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.
LanguageUndefined
Title of host publicationProceedings of the 4th International Conference on Cloud Networking, CloudNet 2015
Place of PublicationDanvers, MA, USA
PublisherInstitute of Electrical and Electronics Engineers
Pages132-138
Number of pages7
ISBN (Print)978-1-4673-9501-4
DOIs
StatePublished - 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: Institute of Electrical and Electronics Engineers. DOI: 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 : Institute of Electrical and Electronics Engineers, 2015. pp. 132-138
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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. Institute of Electrical and Electronics Engineers, Danvers, MA, USA, pp. 132-138. DOI: 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 : Institute of Electrical and Electronics Engineers, 2015. p. 132-138.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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 - METIS-314979

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

PB - Institute of Electrical and Electronics Engineers

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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: Institute of Electrical and Electronics Engineers. 2015. p. 132-138. Available from, DOI: 10.1109/CloudNet.2015.7335295