A Demonstration of Mobility Prediction as a Service in Cloudified LTE Networks

Zhongliang Zhao, Morteza Karimzadeh Motallebi Azar, Torsten Braun, Aiko Pras, Hans Leo van den Berg

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

  • 3 Citations

Abstract

Location prediction has attracted a significant amount of research effort. Being able to predict users’ movement benefits a wide range of communication systems, including location-based service/applications, mobile access control, mobile QoS provision, and resource management for mobile computation and storage management. In this demo, we present MOBaaS, which is a cloudified Mobility and Bandwidth prediction services that can be instantiated, deployed, and disposed on-demand. Mobility prediction of MOBaaS provides location predictions of a single/group user equipments (UEs) in a future moment. This information can be used for self-adaptation procedures and optimal network function configuration during run-time operations. We demonstrate an example of real-time mobility prediction service deployment running on OpenStack platform, and the potential benefits it bring to other invoking services.
LanguageUndefined
Title of host publicationProceedings of the 4th International Conference on Cloud Networking, CloudNet 2015
Place of PublicationDanvers, MA, USA
PublisherIEEE
Pages78-80
Number of pages3
ISBN (Print)978-1-4673-9501-4
DOIs
StatePublished - 5 Oct 2015

Publication series

Name
PublisherIEEE

Keywords

  • EWI-26341
  • IR-98281
  • METIS-314980

Cite this

Zhao, Z., Karimzadeh Motallebi Azar, M., Braun, T., Pras, A., & van den Berg, H. L. (2015). A Demonstration of Mobility Prediction as a Service in Cloudified LTE Networks. In Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015 (pp. 78-80). Danvers, MA, USA: IEEE. DOI: 10.1109/CloudNet.2015.7335285
Zhao, Zhongliang ; Karimzadeh Motallebi Azar, Morteza ; Braun, Torsten ; Pras, Aiko ; van den Berg, Hans Leo. / A Demonstration of Mobility Prediction as a Service in Cloudified LTE Networks. Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015. Danvers, MA, USA : IEEE, 2015. pp. 78-80
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title = "A Demonstration of Mobility Prediction as a Service in Cloudified LTE Networks",
abstract = "Location prediction has attracted a significant amount of research effort. Being able to predict users’ movement benefits a wide range of communication systems, including location-based service/applications, mobile access control, mobile QoS provision, and resource management for mobile computation and storage management. In this demo, we present MOBaaS, which is a cloudified Mobility and Bandwidth prediction services that can be instantiated, deployed, and disposed on-demand. Mobility prediction of MOBaaS provides location predictions of a single/group user equipments (UEs) in a future moment. This information can be used for self-adaptation procedures and optimal network function configuration during run-time operations. We demonstrate an example of real-time mobility prediction service deployment running on OpenStack platform, and the potential benefits it bring to other invoking services.",
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Zhao, Z, Karimzadeh Motallebi Azar, M, Braun, T, Pras, A & van den Berg, HL 2015, A Demonstration of Mobility Prediction as a Service in Cloudified LTE Networks. in Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015. IEEE, Danvers, MA, USA, pp. 78-80. DOI: 10.1109/CloudNet.2015.7335285

A Demonstration of Mobility Prediction as a Service in Cloudified LTE Networks. / Zhao, Zhongliang; Karimzadeh Motallebi Azar, Morteza ; Braun, Torsten; Pras, Aiko; van den Berg, Hans Leo.

Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015. Danvers, MA, USA : IEEE, 2015. p. 78-80.

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

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AB - Location prediction has attracted a significant amount of research effort. Being able to predict users’ movement benefits a wide range of communication systems, including location-based service/applications, mobile access control, mobile QoS provision, and resource management for mobile computation and storage management. In this demo, we present MOBaaS, which is a cloudified Mobility and Bandwidth prediction services that can be instantiated, deployed, and disposed on-demand. Mobility prediction of MOBaaS provides location predictions of a single/group user equipments (UEs) in a future moment. This information can be used for self-adaptation procedures and optimal network function configuration during run-time operations. We demonstrate an example of real-time mobility prediction service deployment running on OpenStack platform, and the potential benefits it bring to other invoking services.

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Zhao Z, Karimzadeh Motallebi Azar M, Braun T, Pras A, van den Berg HL. A Demonstration of Mobility Prediction as a Service in Cloudified LTE Networks. In Proceedings of the 4th International Conference on Cloud Networking, CloudNet 2015. Danvers, MA, USA: IEEE. 2015. p. 78-80. Available from, DOI: 10.1109/CloudNet.2015.7335285