摘要
内置缓存是命名数据网络的关键特征之一,为实现节点缓存的高效利用,基于局部流行度,提出一种新的分布式协作缓存策略。通过对用户接入节点进行周期性地统计内容请求速率,并将结果随兴趣包转发,避免请求聚合的影响,在请求路径上依据缓存收益实现缓存决策,在邻居节点之间执行局部缓存通告,提升缓存利用率。仿真结果表明,该策略能够降低请求时延,提高缓存命中率。
In-network cache is one of the most important features of Named Data Networking（ NDN）, aiming to solve the efficient utilize of the cached replicas highly,the local popularity based distributed cooperative cache is proposed.Count the rate of the content request of the user access nodes periodically, and the results are forwarded with the interest package, at the result of avoiding the filter effect. Implement cache decisions based on cache the revenue on the request path; between the neighbor nodes are performing local cache announcements which can improve the cache utilization.Simulation results show that the proposed strategy can reduce the request delay,improve the cache hit rate.
作者
房晓阳
季新生
刘彩霞
杜福德
FANG Xiaoyang;JI Xinsheng;LIU Caixia;DU Fude(ational Digital Switching System Engineering and Technological R ＆D Center,Zhengzhou 450002,China;Unit 65054, Dalian 116000, China)
出处
《计算机工程》
CAS
CSCD
北大核心
2018年第5期94-100,106,共8页
Computer Engineering
基金
国家高技术研究发展计划项目(2014AA01A701)
国家自然科学基金(61521003)
国家科技支撑计划项目(2014BAH30B01)
关键词
命名数据网络
缓存策略
流行度
缓存收益
局部缓存
Named Data Network（NDN）
cache strategy
popularity
cache revenue
local cache
