• DocumentCode
    257148
  • Title

    Context-aware distributed service provisioning based on anycast for information-centric network

  • Author

    Sha Yuan ; Ding Tang ; Yinlong Liu ; Shuotian Bai ; Tao Lin ; Song Ci

  • Author_Institution
    High Performance Network Lab., Inst. of Acoust., Beijing, China
  • fYear
    2014
  • fDate
    4-7 Aug. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Information-Centric Networking (ICN) is a new emerging concept, in which the principal paradigm shifts from the traditional end-to-end connection to the information-centric communication model. In ICN, information unit, such as content or service, is distributed in different sites or data centers to provide large-scale services. A common supporting approach for scalable service provisioning is deploying multiple replica servers throughout the network. Accordingly, an efficient and flexible scheme is needed to direct distributed requests to an appropriate replica server. In this paper, we first propose an incrementally deployable ICN architecture based on edge/core separation. And then, a practical anycast-based service provisioning scheme is presented with joint considerations of both servers contexts and the underlying network conditions. Extensive experiments have been performed to evaluate the proposed scheme. Experiment results show that efficient context-aware distributed service provisioning can be achieved.
  • Keywords
    ubiquitous computing; ICN architecture; anycast-based service provisioning scheme; context-aware distributed service provisioning; edge/core separation; information unit; information-centric communication model; information-centric networking; multiple replica servers; Heuristic algorithms; IP networks; Internet; Routing; Scalability; Servers; Time factors; Information Centric Network (ICN); anycast; context-awareness; future network; service provisioning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication and Networks (ICCCN), 2014 23rd International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/ICCCN.2014.6911732
  • Filename
    6911732