內容中心網絡中一種基于內容等級及流行度的緩存策略

黃勝; 劉四軍; 滕明埝; 姜良浩; 郝言明; 何玉杰

doi:10.11999/JEIT160816

內容中心網絡中一種基于內容等級及流行度的緩存策略

doi: 10.11999/JEIT160816 cstr: 32379.14.JEIT160816

基金項目:

國家自然科學基金(61571072, 61371096)，重慶市基礎與前沿研究計劃項目(cstc2015jcyjA40015, cstc2013jcyjA40052)，重慶市教委科學技術研究項目(KJ130515)

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- 文章訪問數: 1420
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- 被引次數: 0
出版歷程
- 收稿日期: 2016-08-03
- 修回日期: 2016-12-30
- 刊出日期: 2017-06-19

Cache Strategy Based on Content Level and Popularity in Content Centric Networking

Funds:

The National Natural Science Foundation of China (61571072, 61371096), Chongqing Base and Cutting-edge Research Projects (cstc2015jcyjA40015, cstc2013jcyjA40052), Chongqing Commission of Science and Technology Research Projects (KJ130515)

摘要

摘要: 網內緩存作為內容中心網絡(CCN)的核心技術，越來越受到關注。為了提高網絡的緩存性能以及用戶對數據請求的滿意度，該文提出一種基于內容等級及流行度的緩存策略(CLPC)。CLPC策略通過設置不同用戶對內容的訪問等級以及統(tǒng)計內容的訪問頻率，決定數據的緩存位置，并且設計了數據替換方法，在一定程度上保證了不同用戶對不同數據的最優(yōu)請求，同時提高了網絡的性能。實驗證明該策略與CEE+LRU, Prob(0.7)+LRU, Betw+LRU相比，能更好地提高緩存命中率、平均時延及源端命中率等網絡緩存性能指標。
- 內容中心網絡 /
- 緩存策略 /
- 內容等級 /
- 流行度
Abstract: As the most important core technology in Content Centric Networking (CCN), caching is widely concerned . In order to improve the network performance and enhance the user satisfaction of data request, a Content-based Level and the Popularity of Caching (CLPC) strategies is proposed . The strategy decides the cache position of data and design method of data replacement by setting the request content level of different users and counting the request frequency, to ensure the optimum request of different users for different data and improve the performance of the network. Experimental results show that compared with the CEE + LRU, Prob (0.7) + LRU and Betw+LRU, the CLPC can increase cache hit ratio, reduce the average delay and the content source hit ratio.
- Content Centric Network (CCN) /
- Caching strategy /
- Content level /
- Popularity

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參考文獻(23)

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