NFVMon: enabling multioperator flow monitoring in 5G mobile edge computing

Enrique Chirivella Perez, Juan Gutiérrez-Aguado, Jose M. Alcaraz-Calero, Qi Wang

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)
    179 Downloads (Pure)

    Abstract

    With the advances of new-generation wireless and mobile communication systems such as the fifth-generation (5G) mobile networks and Internet of Things (IoT) networks, demanding applications such as Ultra-High-Definition video applications is becoming ever popular. These applications require real-time monitoring and processing to meet the mission-critical quality of service requirements and are expected to be supported by the emerging fog or edge computing paradigms. This paper presents NFVMon, a novel monitoring architecture to enable flow monitoring capabilities of network traffic in a 5G multioperator mobile edge computing environment. The proposed NFVMon is integrated with the management plane of the Cloud Computing. NFVMon has been prototyped and a reference implementation is presented. It provides novel capabilities to provide disaggregated metrics related to the different 5G mobile operators sharing infrastructures and also about the different 5G subscribers of each of such mobile operators. Extensive experiments for evaluating the performance of the system have been conducted on a mid-sized infrastructure testbed.
    Original languageEnglish
    Article number2860452
    Number of pages16
    JournalWireless Communications and Mobile Computing
    Volume2018
    DOIs
    Publication statusPublished - 14 Aug 2018

    Keywords

    • 5G mobile communication

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