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基于拓扑的命名数据网络缓存优化策略
引用本文:魏欣, 颜拥, 郭少勇, 于卓, 邱雪松. 基于拓扑的命名数据网络缓存优化策略[J]. 电子与信息学报, 2018, 40(9): 2057-2063. doi: 10.11999/JEIT170967
作者姓名:魏欣  颜拥  郭少勇  于卓  邱雪松
作者单位:1.北京邮电大学网络与交换技术国家重点实验室 北京 100876;2.国网浙江省电力公司电力科学研究院 杭州 310009;3.北京中电普华信息技术有限公司 北京 100192
基金项目:国家自然科学基金(61702048),国家电网公司科技项目(5211DS17002D)
摘    要:针对命名数据网络(NDN)存储空间的有效利用和应答内容的高效缓存问题,该文建立了模型并基于拓扑信息采用贪心算法求解,执行过程中考虑兴趣热度对其优化,从而有效缩短网络整体的缓存命中距离。该文基于ndnsim及一些真实拓扑数据完成了仿真实验,并对提出的算法与传统的prob算法,默认的沿途全部缓存(CEE)算法及基于度的差异缓存算法(HSS)做出了对比及分析,验证了算法的有效性。

关 键 词:互联网   命名数据网络   内容缓存   拓扑
收稿时间:2017-10-19
修稿时间:2018-06-11

Topology Based Caching Optimizing Strategy in Named Data Networking
Xin WEI, Yong YAN, Shaoyong GUO, Zhuo YU, Xuesong QIU. Topology Based Caching Optimizing Strategy in Named Data Networking[J]. Journal of Electronics & Information Technology, 2018, 40(9): 2057-2063. doi: 10.11999/JEIT170967
Authors:Xin WEI  Yong YAN  Shaoyong GUO  Zhuo YU  Xuesong QIU
Affiliation:1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China;2. Electric Power Research Institute of State Grid Zhejiang Electric Power Company, Hangzhou 310009, China;3. Beijing China-Power Information Technology Co.Ltd., Beijing 100192, China
Abstract:In order to utilize storage space and fetch content effectively in Named Data Networking (NDN), this paper constructs a model for caching problem and proposes a greedy algorithm based on topology information. To optimize the algorithm, content popularity is introduced into execution. Furthermore, content hit distance is shortened effectively. This paper simulates a NDN network based on some real topology data with ndnSIM, and compares the proposed algorithm with traditional prob algorithm, default Cache Everything Everywhere (CEE) algorithm and degree based Heterogeneous Storage Size (HSS) algorithm through simulation. The results show that the algorithm proposed in this paper has better performance.
Keywords:Internet  Named Data Networking (NDN)  Content cache  Topology
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