4.6 Article

PPCS: A Progressive Popularity-Aware Caching Scheme for Edge-Based Cache Redundancy Avoidance in Information-Centric Networks

期刊

SENSORS
卷 19, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/s19030694

关键词

information-centric networking (ICN); cache redundancy; caching policies; cache optimization; edge computing; named-data networking (NDN); Future Internet (FI); network design

资金

  1. SCOPE project of MIC (Ministry of Internal Affairs and Communications) of Japan
  2. Waseda University Grant for Special Research Projects [2018S-082]
  3. Academy of Finland 6Genesis Flagship [318927]
  4. 5G! Pagoda project - European Commission's H2020 program [723172]

向作者/读者索取更多资源

This article proposes a novel chunk-based caching scheme known as the Progressive Popularity-Aware Caching Scheme (PPCS) to improve content availability and eliminate the cache redundancy issue of Information-Centric Networking (ICN). Particularly, the proposal considers both entire-object caching and partial-progressive caching for popular and non-popular content objects, respectively. In the case that the content is not popular enough, PPCS first caches initial chunks of the content at the edge node and then progressively continues caching subsequent chunks at upstream Content Nodes (CNs) along the delivery path over time, according to the content popularity and each CN position. Therefore, PPCS efficiently avoids wasting cache space for storing on-path content duplicates and improves cache diversity by allowing no more than one replica of a specified content to be cached. To enable a complete ICN caching solution for communication networks, we also propose an autonomous replacement policy to optimize the cache utilization by maximizing the utility of each CN from caching content items. By simulation, we show that PPCS, utilizing edge-computing for the joint optimization of caching decision and replacement policies, considerably outperforms relevant existing ICN caching strategies in terms of latency (number of hops), cache redundancy, and content availability (hit rate), especially when the CN's cache size is small.

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