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基于聚类的ICN缓存空间规划方法

沈皓珂 陈君 韩锐

计算机应用与软件2024,Vol.41Issue(8):132-139,209,9.
计算机应用与软件2024,Vol.41Issue(8):132-139,209,9.DOI:10.3969/j.issn.1000-386x.2024.08.019

基于聚类的ICN缓存空间规划方法

ICN CACHE CAPACITY ALLOCATION METHOD BASED ON CLUSTERING

沈皓珂 1陈君 1韩锐2

作者信息

  • 1. 中国科学院声学研究所国家网络新媒体工程技术研究中心 北京 100190||中国科学院大学 北京 100049
  • 2. 中国科学院声学研究所国家网络新媒体工程技术研究中心 北京 100190
  • 折叠

摘要

Abstract

In order to reasonably allocate the cache space of each node in information-centric network(ICN),an ICN cache capacity allocation method based on clustering is proposed.After clustering the ICN nodes according to the node attribute data set,the obtained cluster center attribute data set was used to allocate cache space for each category.According to the Euclidean distance to evaluate the clustering effect,the cache space was allocated to each node in the category to improve the cache System performance.In practical applications,it can also provide certain guidance for internet service providers(ISP).The simulation results show that the proposed method improves the cache hit rate and significantly reduces the response latency compared with the equally distributed deployment method,the degree-based deployment method,and the betweenness-based deployment method.

关键词

网内缓存/信息中心网络/聚类/缓存空间规划

Key words

In-networking caching/Information-centric network(ICN)/Clustering/Capacity allocation

分类

信息技术与安全科学

引用本文复制引用

沈皓珂,陈君,韩锐..基于聚类的ICN缓存空间规划方法[J].计算机应用与软件,2024,41(8):132-139,209,9.

基金项目

中国科学院战略性科技先导专项课题(XDC02070100). (XDC02070100)

计算机应用与软件

OA北大核心CSTPCD

1000-386X

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