计算机科学
中间性中心性
隐藏物
计算机网络
缓存算法
节点(物理)
复制(统计)
以信息为中心的网络
分布式计算
CPU缓存
中心性
数学
结构工程
统计
组合数学
工程类
作者
Qinghua Zheng,Yuanzhi Kan,Jiebo Chen,Song Wang,Hongliang Tian
标识
DOI:10.1109/icc.2019.8761900
摘要
Caching content in routers is the most significant feature of Named Data Networking (NDN) and therefore the cache performance is increasingly being concerned for NDN deployment. The default cache policy of NDN is Leave Copy Everywhere (LCE) that leaves the copies in each node the data packet passed, and most of the copies will not be requested again, which leads to the waste of cache resources. The Betweenness Strategy caches data in the node with the maximal betweenness value, which causes a high replacement rate. Considering the betweenness of nodes and the popularity of content, as well as the filter effect of cache, we propose Betweenness and Edge Popularity strategy (BEP) which caches the most popular content in the most important nodes. We also conduct comprehensive simulations based on ndnSIM. By evaluating BEP and other cache replication strategies on a virtual topology, it is indicated that BEP can achieve higher performance in terms of the cache hit ratio, server load and average delay.
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