• DocumentCode
    172441
  • Title

    Differentiated services in named-data networking

  • Author

    Yusung Kim ; Younghoon Kim ; Ikjun Yeom

  • Author_Institution
    Dept. of Comput. Eng., Sungkyunkwan Univ., Suwon, South Korea
  • fYear
    2014
  • fDate
    April 27 2014-May 2 2014
  • Firstpage
    452
  • Lastpage
    457
  • Abstract
    Named Data Networking (NDN) is an emerging communication paradigm to resolve a traffic explosion problem due to repeated and duplicated delivery of large multimedia content. To make NDN being useful more widely, however, it should support various types of traffic and their Quality of Service (QoS) requirements. In this paper, we propose a differentiated services (diffserv) model for NDN. For scalability, the proposed diffserv model is designed to follow the guidelines from the IP diffserv model. Traffic classification and packet marking are performed at edge routers, and class based service differentiation is provided by core routers. The proposed model, at the same time, supports fascinating features of NDN for efficient content delivery such as interest aggregation and content caching. To demonstrate the proposed model more realistically, we implement and evaluate it on a CCNx testbed.
  • Keywords
    DiffServ networks; IP networks; cache storage; multimedia communication; telecommunication network routing; telecommunication traffic; CCNx testbed; IP diffserv model; NDN; QoS; communication paradigm; content caching; core routers; differentiated services model; duplicated large multimedia content delivery; edge routers; interest aggregation; named-data networking; packet marking; qualityof-service requirements; repeated large multimedia content delivery; traffic classification; traffic explosion problem; Bandwidth; Conferences; Contracts; Diffserv networks; IP networks; Quality of service; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2014 IEEE Conference on
  • Conference_Location
    Toronto, ON
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2014.6849274
  • Filename
    6849274