Research on In-Network Caching Mechanisms for Space-Integrated-Ground Content Delivery Service

Yang CAO; Yufeng ZHU; Junfeng LV; Tao JIANG; Peng GAO; Dongchen ZHANG

doi:10.11959/j.issn.2096-8930.20200207

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Research on In-Network Caching Mechanisms for Space-Integrated-Ground Content Delivery Service

Topics: Architecture of Space-Integrated-Ground Information Network | 更新时间：2024-06-03

- Research on In-Network Caching Mechanisms for Space-Integrated-Ground Content Delivery Service
- Space-Integrated-Ground Information Networks Vol. 1, Issue 2, Pages: 48-56(2020)
- 作者机构：
  
  1. 华中科技大学，湖北武汉 430074
  2. 中国移动通信集团设计院有限公司，北京 100080
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-8930.20200207
  CLC： TN393
- Published Online：2020-12，
  
  Published：20 December 2020
- 稿件说明：
移动端阅览
Yang CAO, Yufeng ZHU, Junfeng LV, et al. Research on In-Network Caching Mechanisms for Space-Integrated-Ground Content Delivery Service[J]. Space-integrated-ground information networks, 2020, 1(2): 48-56.
DOI：

Yang CAO, Yufeng ZHU, Junfeng LV, et al. Research on In-Network Caching Mechanisms for Space-Integrated-Ground Content Delivery Service[J]. Space-integrated-ground information networks, 2020, 1(2): 48-56. DOI： 10.11959/j.issn.2096-8930.20200207.

摘要

针对卫星移动性以及地面网络资源受限问题，首先提出一种基于命名数据网络的地面网络内容预先放置策略；然后，充分考虑多个基站覆盖范围下内容局部请求分布的差异性，提出一种基于公平的卫星网络内容分发策略。仿真实验结果表明，在卫星网络内容注入方面，所提内容预先放置策略是有效的；在卫星网络内容分发方面，所提出的基于公平的内容分发策略可以实现最大化内容满意度。

Abstract

In view of the problem of satellite mobility and terrestrial network resource constraints

a pre-placement strategy for terrestrial network content based on named data networking was proposed; Then

local content requests under the coverage of multiple base stations was fully considered.Based on the diff erence in distribution

a content distribution strategy based on fairness in satellite networks was proposed.The numerical results showed that the proposed content pre-placement strategy was eff ective in terms of satellite network content injection.In addition

in terms of satellite network content distribution

the proposed fair-based content distribution strategy could maximized content satisfaction.

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references

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