[1]杨佳鑫,潘沛生.CCN中用于可伸缩视频流的缓存替换策略[J].计算机技术与发展,2019,29(04):160-163.[doi:10. 3969 / j. issn. 1673-629X. 2019. 04. 032]
　YANG Jia-xin,PAN Pei-sheng.A Cache Replacement Strategy for Scalable Video Streaming in CCN[J].,2019,29(04):160-163.[doi:10. 3969 / j. issn. 1673-629X. 2019. 04. 032]
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CCN中用于可伸缩视频流的缓存替换策略()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年04期
页码:
160-163
栏目:
应用开发研究
出版日期:
2019-04-10

文章信息/Info

Title:
A Cache Replacement Strategy for Scalable Video Streaming in CCN
文章编号:
1673-629X(2019)04-0160-04
作者:
杨佳鑫; 潘沛生
南京邮电大学 通信与信息工程学院,江苏 南京 210003
Author(s):
YANG Jia-xin; PAN Pei-sheng
School of Telecommunications & Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
关键词:
内容中心网络; 网内缓存; 流行度; 节点
Keywords:
content centric network; in-network cache; popularity; node
分类号:
TP393
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 04. 032
摘要:
以内容为中心的网络(CCN)是一种创新的网络架构,跟传统网络架构不同的是,它强调将内容本身作为中心。为了提高内容的分发效率,采用了网内缓存,即路由器的每个节点都能临时存储数据,因此缓存策略的效率至关重要。而在这个互联网高速发展的时代,网络视频流的需求量正在呈爆炸式增长,由于路由节点空间有限,会造成节点内容的冗余,对于用户的请求还需进一步优化。针对上述问题,提出了一种基于视频标题及视频片段的流行度,结合可伸缩视频编解码技术,按比例分配缓存空间(PBCSA)的方案,专门用于CCN上视频内容的分发。在ndnSIM平台上的仿真结果表明,与常用的LFU,LRU,FIFO三种缓存策略相比,该策略提高了缓存命中率,减少了获取内容所需的平均跳数,节省了完成视频接收所需的时间。
Abstract:
Content centric networking (CCN) is regarded as an innovative architecture of network. Different from the traditional networkarchitecture,it emphasizes content itself as the center. To enhance the efficiency of the content distribution,an in-network cache is adopted,which enables routers to temporarily store the passing by data. Therefore,the efficiency of cache strategy is crucial. With the rapid development of the Internet,the demand for video streams in the network is increasing exponentially. The limited space of the routing nodes will result in redundancy of the content of the nodes,and the user’s request needs to be further optimized. Therefore,we propose a cache scheme named popularity based cache size allocation (PBCSA) for video content delivery on CCN. Taking both the title-levelpopularity and the chunk-level probability of the video into consideration,combining the scalable video coding technology,we carry outthe simulation on the ndnSIM platform. Compared with commonly used LFU,LRU,FIFO,it shows that the scheme improves the cache hit ratio of the node,reduces the average hop count and saves the total time to complete the reception.

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更新日期/Last Update: 2019-04-10