About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Communications and Networking. 17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings

Research Article

Based on Content Relevance Caching Strategy in Information-Centric Network

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-34790-0_10,
        author={Xueqin Xiong and Zhanjun Liu and Yuan Zhang and Qianbin Chen},
        title={Based on Content Relevance Caching Strategy in Information-Centric Network},
        proceedings={Communications and Networking. 17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings},
        proceedings_a={CHINACOM},
        year={2023},
        month={6},
        keywords={Information-Center Networking Content Relevance Local Popularity Caching Strategy},
        doi={10.1007/978-3-031-34790-0_10}
    }
    
  • Xueqin Xiong
    Zhanjun Liu
    Yuan Zhang
    Qianbin Chen
    Year: 2023
    Based on Content Relevance Caching Strategy in Information-Centric Network
    CHINACOM
    Springer
    DOI: 10.1007/978-3-031-34790-0_10
Xueqin Xiong1,*, Zhanjun Liu1, Yuan Zhang2, Qianbin Chen1
  • 1: School of Communication and Information Engineering
  • 2: School of Computer and Internet of Things, Chongqing Institute of Engineering
*Contact email: 1710382196@qq.com

Abstract

Information-Centric Networking (ICN) replaces identifying endpoints with identifying content. One of the most common and important features of ICN architectures is in-network caching, which can significantly reduce content request latency and improve user quality of service(QoS) and network performance. Therefore, how to efficiently utilize cache resources and optimize cache performance has become one of the research hotspots in ICN. This paper proposes a local popularity caching strategy based on content relevance caching (CRC). In this strategy, the local popularity of the content is calculated based on the relevance of the content requested. Routing nodes make caching decisions based on local popularity. In the forwarding process of the interest packet, the cache node ID table in the interest packet is updated according to the local popularity, and the cache decision is made. In the backhaul process of the data packet, content caching and replacement strategy need to be performed according to the caching parameters and local popularity parameters. In cache replacement, if the remaining cache capacity of the current routing node cannot satisfy the required capacity of the cached content, the local popularity of the content needs to be used to replace the cached content. In this way, repeatedly requested content ends up being cached in routing nodes closer to the user. The simulation results show that CRC has better network performance than several other classical caching strategy.

Keywords
Information-Center Networking Content Relevance Local Popularity Caching Strategy
Published
2023-06-10
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-34790-0_10
Copyright © 2022–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL