Cloudified Mobility and Bandwidth Prediction in Virtualized LTE Networks

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

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

    1 Citation (Scopus)
    1 Downloads (Pure)

    Abstract

    Network Function Virtualization involves implementing network functions (e.g., virtualized LTE component) in software that can run on a range of industry standard server hardware, and can be migrated or instantiated on demand. A prediction service hosted on cloud infrastructures enables consumers to request the prediction information on-demand and respond accordingly. In this paper we introduce MOBaaS, which is a network function of Mobility and Bandwidth prediction cloudified over the cloud computing infrastructure. We implemented the service orchestration framework of MOBaaS, which can easily be setup and integrated with any other cloud-based LTE entities to provide prediction information about the future location of mobile user(s) as well as the network link(s) bandwidth availability. This information can be used to generate required triggers for on-demand deployment or scaling-up/down of virtualized network components as well as for the self-adaptation procedures and optimal network function configuration. We also describe the performance evaluation of the MOBaaS cloudification procedures and present an example of the benefit of such a prediction service
    Original languageEnglish
    Title of host publicationIFIP/IEEE International Symposium on Integrated Network Management (IM 2017)
    PublisherIEEE
    Number of pages7
    ISBN (Electronic)978-3-901882-89-0
    DOIs
    Publication statusPublished - Jul 2017
    Event15th IFIP/IEEE International Symposium on Integrated Network Management (IM 2017) - Lisbon, Portugal
    Duration: 8 May 201712 May 2017
    Conference number: 15
    http://im2017.ieee-im.org/

    Conference

    Conference15th IFIP/IEEE International Symposium on Integrated Network Management (IM 2017)
    Abbreviated titleIM 2017
    CountryPortugal
    CityLisbon
    Period8/05/1712/05/17
    Internet address

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