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Based on Content Relevance Caching Strategy in Information-Centric Network

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Communications and Networking (ChinaCom 2022)


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.

Q. Chen—This work was supported by the Chongqing Municipal Education Commission under Grant KJQN201900645.

Chongqing University of Posts and Telecommunications Doctoral Start-up Fund Project (A2019017).

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Correspondence to Xueqin Xiong .

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Xiong, X., Liu, Z., Zhang, Y., Chen, Q. (2023). Based on Content Relevance Caching Strategy in Information-Centric Network. In: Gao, F., Wu, J., Li, Y., Gao, H. (eds) Communications and Networking. ChinaCom 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 500. Springer, Cham.

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