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边缘节点缓存替换策略研究
引用本文:崔炳辉,李 孜,薛 吉,李佳伟.边缘节点缓存替换策略研究[J].教育技术导刊,2020,19(4):131-134.
作者姓名:崔炳辉  李 孜  薛 吉  李佳伟
作者单位:1. 上海理工大学 机械工程学院,上海 200093;2. 上海电器科学研究院,上海 200063
摘    要:缓存替换机制是内容中心网络研究的重点,在解决网络时延与网络带宽拥堵等问题中发挥着重要作用。针对目前边缘侧量节点设备缓存空间的有限性,提出一种基于猴群算法的优化方案。该方案可合理地对边缘设备缓存内容进行置换,有效提高边缘量设备请求命中率。通过在猴群算法的猴群爬过程中引入文件流行度等引导因子、在望过程中改进猴群视野范围等方法找到最优解。仿真实验结果显示了不同大小的边缘设备缓存空间请求命中率。与传统算法相比,该方案可有效提高请求命中率。

关 键 词:缓存替换  边缘设备  猴群算法  请求命中率  
收稿时间:2019-06-17

Research on Cache Replacement Strategy for Edge Nodes
CUI Bing-hui,LI Zi,XUE Ji,LI Jia-wei.Research on Cache Replacement Strategy for Edge Nodes[J].Introduction of Educational Technology,2020,19(4):131-134.
Authors:CUI Bing-hui  LI Zi  XUE Ji  LI Jia-wei
Institution:1. School of Mechanics Engineering,University of Shanghai for Science and Technology,Shanghai 200093, China;2. Shanghai Electrical Apparatus Research Institute (Group) Co.,Ltd.,Shanghai 200063,China
Abstract:Cache replacement mechanism is an important part of content-centric network research. It is widely used to solve network delay and network bandwidth congestion. Aiming at the limitation of the buffer space of edge detection devices, we propose an optimization scheme based on monkey swarm algorithm which can replace the content of edge detection devices’ cache reasonably and effectively to improve the hit rate of edge detection devices’ requests. In order to find the optimal solution, this paper introduces some guiding factors such as file popularity into the monkey group crawling process and improves the horizon of the monkey group in the looking process. Then the simulation experiments are carried out. The experimental results show the hit rate of each request in different size of edge device cache space. Finally, by comparing with the traditional algorithm, it is proved that this scheme can effectively improve the hit rate of requests.
Keywords:Cache replacement  edge device  monkey algorithm  request hit ratio  
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