内容中心网络中一种基于内容等级及流行度的缓存策略

黄胜; 刘四军; 滕明埝; 姜良浩; 郝言明; 何玉杰

doi:10.11999/JEIT160816

内容中心网络中一种基于内容等级及流行度的缓存策略

doi: 10.11999/JEIT160816

基金项目:

国家自然科学基金(61571072, 61371096)，重庆市基础与前沿研究计划项目(cstc2015jcyjA40015, cstc2013jcyjA40052)，重庆市教委科学技术研究项目(KJ130515)

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出版历程
- 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: 网内缓存作为内容中心网络(CCN)的核心技术，越来越受到关注。为了提高网络的缓存性能以及用户对数据请求的满意度，该文提出一种基于内容等级及流行度的缓存策略(CLPC)。CLPC策略通过设置不同用户对内容的访问等级以及统计内容的访问频率，决定数据的缓存位置，并且设计了数据替换方法，在一定程度上保证了不同用户对不同数据的最优请求，同时提高了网络的性能。实验证明该策略与CEE+LRU, Prob(0.7)+LRU, Betw+LRU相比，能更好地提高缓存命中率、平均时延及源端命中率等网络缓存性能指标。
- 内容中心网络 /
- 缓存策略 /
- 内容等级 /
- 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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参考文献(23)

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