Enabling a Mobility Prediction-aware Follow-Me Cloud Model

Bruno Sousa, Zhongliang Zhao, Morteza Karimzadeh Motallebi Azar, David Palma, Vitor Fonseca, Paulo Simoes, Torsten Braun, Hans Leo van den Berg, Aiko Pras, Luis Cordeiro

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

    7 Citations (Scopus)
    107 Downloads (Pure)


    The location of data centres is crucial when mobile network operators are moving towards cloudified mobile networks to optimize resource utilization and to improve performance of services. Quality of Experience (QoE) can be enhanced in terms of content access latency, by placing user content at locations where they will be present in the future. The Follow-Me Cloud (FMC) concept aims at optimising operations of moving Mobile Network Operators Services towards cloudified environments, where Information Centric Networking (ICN) and the appropriate content migration policies are of paramount importance. However, several factors need to be considered, including user movements and mobility prediction (MP), content popularity, and migration. This paper addresses all these aspects by implementing a fully integrated multi-criteria FMC and mobility prediction mechanisms (MP-FMC) on a cloud infrastructure. Experimental evaluation shows that MP-FMC can be orchestrated on-demand within a reasonable time frame, and it could deliver ≈ 33% improvement of content retrieval time.
    Original languageUndefined
    Title of host publicationProceedings of the 41st IEEE Conference on Local Computer Networks (LNC 2016)
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Number of pages9
    ISBN (Print)978-1-5090-2055-3
    Publication statusPublished - Nov 2016
    Event41st IEEE Conference on Local Computer Networks, LNC 2016 - Dubai, United Arab Emirates
    Duration: 7 Nov 201610 Nov 2016

    Publication series

    PublisherIEEE Computer Society


    Conference41st IEEE Conference on Local Computer Networks, LNC 2016
    Other7-10 November 2016


    • EWI-27394
    • IR-102938
    • METIS-320884

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