• DocumentCode
    3719928
  • Title

    Performance benchmarking of a software-based LTE SGW

  • Author

    Stanislav Lange;Anh Nguyen-Ngoc;Steffen Gebert;Thomas Zinner;Michael Jarschel;Andreas K?psel;Marc Sune;Daniel Raumer;Sebastian Gallenm?ller;Georg Carle;Phuoc Tran-Gia

  • Author_Institution
    University of W?rzburg, Institute of Computer Science, Chair of Communication Networks, W?rzburg, Germany
  • fYear
    2015
  • Firstpage
    378
  • Lastpage
    383
  • Abstract
    Network Functions Virtualization (NFV) is a concept that aims at providing network operators with benefits in terms of cost, flexibility, and vendor independence by utilizing virtualization techniques to run network functions as software on commercial off-the-shelf (COTS) hardware. In contrast, prior solutions rely on specialized hardware for each function. Performance evaluation of such systems usually requires a dedicated testbed for each individual component. Rather than analyzing these proprietary black-box components, Virtualized Network Functions (VNFs) are pieces of software that run on COTS hardware and whose properties can be investigated in a generic testbed. However, depending on the underlying hardware, operating system, and implementation, VNFs might behave differently. Therefore, mechanisms for the performance evaluation of VNFs should be similar to benchmarking of software, where different implementations are compared by applying them to predefined test cases and scenarios. This work presents a first step towards a benchmarking framework for VNFs. Given two different implementations of a VNF that acts as LTE Serving Gateway (SGW), influence factors and key performance indicators are identified and a comparison between the two mechanisms is drawn.
  • Keywords
    "Benchmark testing","Hardware","Performance evaluation","Packet loss","Software","Ports (Computers)"
  • Publisher
    ieee
  • Conference_Titel
    Network and Service Management (CNSM), 2015 11th International Conference on
  • Type

    conf

  • DOI
    10.1109/CNSM.2015.7367386
  • Filename
    7367386