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Path Segmentation-Based Hybrid Caching in Information-Centric Networks

Author

Listed:
  • Wei Li

    (National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy Sciences, Beijing 100049, China)

  • Peng Sun

    (National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy Sciences, Beijing 100049, China)

  • Rui Han

    (National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy Sciences, Beijing 100049, China)

Abstract

Information-centric networks (ICNs) have received wide interest from researchers, and in-network caching is an important characteristic of ICN. The management and placement of contents are essential due to cache nodes’ limited cache space and the huge Internet traffic. This paper focuses on coordinating two cache metrics, namely user access latency and network resource utilization, and proposes a hybrid caching scheme called the path segmentation-based hybrid caching scheme (PSBC). We temporarily divide each data transmit path into a user-edge area and non-edge area. The user-edge area adopts a heuristic caching scheme to reduce user access latency. In contrast, the non-edge area implements caching network content migration and optimization to improve network resource utilization. The simulation results show that the proposed method positively affects both the cache hit ratio and access latency.

Suggested Citation

  • Wei Li & Peng Sun & Rui Han, 2021. "Path Segmentation-Based Hybrid Caching in Information-Centric Networks," Future Internet, MDPI, vol. 13(1), pages 1-12, January.
  • Handle: RePEc:gam:jftint:v:13:y:2021:i:1:p:16-:d:479188
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