Performance evaluation of ICN/CCN based service migration approach in virtualized LTE systems

Triadimas Satria, Morteza Karimzadeh Motallebi Azar, Georgios Karagiannis

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    7 Citations (Scopus)
    60 Downloads (Pure)

    Abstract

    The continuous growth in using mobile devices (e.g. smart phones, tablets, etc.) has increased the complexity in provisioning cellular network resources. Applying the cloud computing model in LTE (Long Term Evolution) systems could be a good solution to increase LTE’s performance by building a shared distributed mobile network that can optimize the utilization of resources, minimize communication delays, and avoid bottlenecks. One of the most important concepts used in mobile networks is service continuity. Mobile users moving from one sub-network to another should be able to seamlessly continue to retrieve content and use services (e.g. video streaming, electronic games, VoIP, etc.) that they want. In this paper, the Information Centric Networking/Content Centric Networking (ICN/CCN) approach is proposed to be used as a solution for service continuity in virtualized LTE systems. By using NS3 simulation experiments it is shown that the introduced approach is able to satisfy the performance related service continuity requirements.
    Original languageUndefined
    Title of host publicationProceedings of the 3rd IEEE International Conference on Cloud Networking (IEEE CloudNet 2014)
    Place of PublicationUSA
    PublisherIEEE Communications Society
    Pages461-467
    Number of pages7
    ISBN (Print)978-1-4799-2730-2
    DOIs
    Publication statusPublished - 8 Oct 2014

    Publication series

    Name
    PublisherIEEE Communications Society

    Keywords

    • EWI-25215
    • METIS-309622
    • IR-93199

    Cite this

    Satria, T., Karimzadeh Motallebi Azar, M., & Karagiannis, G. (2014). Performance evaluation of ICN/CCN based service migration approach in virtualized LTE systems. In Proceedings of the 3rd IEEE International Conference on Cloud Networking (IEEE CloudNet 2014) (pp. 461-467). USA: IEEE Communications Society. https://doi.org/10.1109/CloudNet.2014.6969038