基于节点中心性度量的内容中心网络缓存机制
发布时间：2019-06-10 11:13
【摘要】：为了降低内容中心网络的缓存内容冗余度和提高缓存内容命中率,提出一种基于节点中心性度量的缓存机制(CMC)。CMC利用控制器获取整个网络的拓扑结构和缓存空间空闲率,根据拓扑的连接关系分别计算各节点的度中心性、紧密中心性和介数中心性,并将这3个度量和缓存空间空闲率作为缓存节点选择的重要指标。仿真实验表明,与传统内容中心网络(CCN)缓存机制相比,CMC可以有效地提高缓存内容命中率,降低获取内容的跳数和平均请求时延。
[Abstract]:In order to reduce the cache content redundancy and improve the cache content hit rate of content center network, a cache mechanism (CMC). CMC based on node centrality measure is proposed to obtain the topology and cache space idle rate of the whole network by using the controller. According to the connection relationship of topology, the degree centrality, compact centrality and medium centrality of each node are calculated respectively, and the three measures and cache space idle rate are taken as the important indexes of cache node selection. The simulation results show that compared with the traditional content center network (CCN) cache mechanism, CMC can effectively improve the cache content hit rate, reduce the number of hops to obtain content and the average request delay.
【作者单位】： 重庆大学信息物理社会可信服务计算教育部重点实验室;重庆大学通信工程学院;
【基金】：国家自然科学基金资助项目(No.61301119) 教育部高等学校博士学科点专项科研基金资助项目(No.20120191120025);教育部留学归国人员启动基金资助项目(No.1020607820140002)~~
【分类号】：TP393.0
[Abstract]:In order to reduce the cache content redundancy and improve the cache content hit rate of content center network, a cache mechanism (CMC). CMC based on node centrality measure is proposed to obtain the topology and cache space idle rate of the whole network by using the controller. According to the connection relationship of topology, the degree centrality, compact centrality and medium centrality of each node are calculated respectively, and the three measures and cache space idle rate are taken as the important indexes of cache node selection. The simulation results show that compared with the traditional content center network (CCN) cache mechanism, CMC can effectively improve the cache content hit rate, reduce the number of hops to obtain content and the average request delay.
【作者单位】： 重庆大学信息物理社会可信服务计算教育部重点实验室;重庆大学通信工程学院;
【基金】：国家自然科学基金资助项目(No.61301119) 教育部高等学校博士学科点专项科研基金资助项目(No.20120191120025);教育部留学归国人员启动基金资助项目(No.1020607820140002)~~
【分类号】：TP393.0
【相似文献】
相关期刊论文 前7条
1 刘欣;李鹏;刘t，
本文编号：2496421
本文链接：https://www.wllwen.com/guanlilunwen/ydhl/2496421.html
