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Volume 39 Issue 6
Jun.  2017
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Article Contents
HUANG Sheng, LIU Sijun, TENG Mingnian, JIANG Lianghao, HAO Yanming, HE Yujie. Cache Strategy Based on Content Level and Popularity in Content Centric Networking[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1417-1423. doi: 10.11999/JEIT160816
Citation: HUANG Sheng, LIU Sijun, TENG Mingnian, JIANG Lianghao, HAO Yanming, HE Yujie. Cache Strategy Based on Content Level and Popularity in Content Centric Networking[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1417-1423. doi: 10.11999/JEIT160816

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

doi: 10.11999/JEIT160816
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)

  • Received Date: 2016-08-03
  • Rev Recd Date: 2016-12-30
  • Publish Date: 2017-06-19
  • 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.
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