• Title/Summary/Keyword: 실시간 생성자 인기도

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A LFU based on Real-time Producer Popularity in Concent Centric Networks (CCN에서 실시간 생성자 인기도 기반의 LFU 정책)

  • Choi, Jong-Hyun;Kwon, Tea-Wook
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.6
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    • pp.1113-1120
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    • 2021
  • Content Central Network (CCN) appeared to improve network efficiency by transforming IP-based network into content name-based network structures. Each router performs caching mechanism to improve network efficiency in the CCN. And the cache replacement policy applied to the CCN router is an important factor that determines the overall performance of the CCN. Therefore various studies has been done relating to cache replacement policy of the CCN. In this paper, we proposed a cache replacement policy that improves the limitations of the LFU policy. The proposal algorithm applies real-time producer popularity-based variables. And through experiments, we proved that the proposed policy shows a better cache hit ratio than existing policies.

A Real-time Content Popularity-Based Cache Policy in Content Centric Network (CCN에서 실시간 콘텐츠 인기도 기반 캐시 정책)

  • Min-Keun Seo;Tae-Wook Kwon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1095-1102
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    • 2023
  • Content Centric Network (CCN) is a network that emerged to improve the existing network structure and communicates based on content names instead of addresses. It utilises caches to distribute traffic and reduce response time by delivering content from intermediate nodes. In this paper, we propose a popularity-based caching policy to efficiently utilise the limited CS space in CCN environment. The performance of CCNs can vary significantly depending on which content is prioritised to be stored and released. To achieve the most efficient cache replacement, we propose a real-time content popularity-based efficient cache replacement policy that calculates and prioritises content popularity based on constructor popularity, constructor distance, and content hits, and demonstrate the effectiveness of the new policy through experiments.