• DocumentCode
    1781066
  • Title

    Software-defined QoE measurement architecture

  • Author

    Yu-Huang Chu ; Wei-Ting Lin ; Yao-Chun Wang ; Ching-Tzu Hsieh ; Ya-Lun Yang ; Kai-Mao Cheng

  • Author_Institution
    Chunghwa Telecom Co. Ltd., Taoyuan, Taiwan
  • fYear
    2014
  • fDate
    17-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Quality of Experience (QoE) is a measure of a customer´s experiences with a service (web browsing, TV broadcast, call to a Call Center). QoE focuses on the entire service experience, and is a more holistic evaluation than the more narrowly focused UX (user experience, focused on a software interface) and CX (customer experience, support focused). Measuring the bottleneck link bandwidth along a path is important for understanding the performance of many services. Existing tools to measure QoE are using distributed network probes to collect network information. It is a very costly monitoring architecture. This paper proposes a cost-effective QoE measurement architecture based on Software Defined Network (SDN) [1], adopting centralized control mechanism to measure multiple clients simultaneously. Experiments on Wi-Fi environment show great reducing of CAPEX and OPEX.
  • Keywords
    quality of experience; software defined networking; wireless LAN; CAPEX; CX; OPEX; QoE measurement architecture; SDN; UX; Wi-Fi environment; bottleneck link bandwidth; centralized control mechanism; customer experience; distributed network probes; network information; quality of experience; service experience; software defined network; software interface; user experience; Computer architecture; IEEE 802.11 Standards; Internet; Logic gates; Probes; Servers; Testing; Autonomi; OpenFlow; Quality of Experience (QoE); Software-defined network (SDN); Wireless network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (APNOMS), 2014 16th Asia-Pacific
  • Conference_Location
    Hsinchu
  • Type

    conf

  • DOI
    10.1109/APNOMS.2014.6996535
  • Filename
    6996535