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Content-Aware Proportional Caching for Efficient Data Delivery over Satellite Network

  • Jiaran Zhang
  • , Yating Yang*
  • , Huanyu Sang
  • , Zhuoqun Gao
  • , Tian Song
  • *此作品的通讯作者
  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The Low Earth Orbit (LEO) satellite network has emerged as a crucial infrastructure for global content delivery service, due to its global coverage and low latency. However, the high mobility of satellites and the limited on-board resources impede its data distribution efficiency. In this paper, we propose CA-prop, a content-aware proportional caching scheme to improve the efficiency of content delivery over limited on-board cache resources. CA-prop captures the time-varying requesting feature of contents and leverage this metric to determine the caching proportion of a specific type of content. Based on the satellite weighted time-varying graph, a cooperative cache placement scheme is developed to cache the proportional content along the data delivery path. Furthermore, with prediction of satellite mobility and data delivery direction, we enhance CA-prop with a directional pre-caching strategy to increase the caching service residence time on the mobile large-scale satellite constellation. Our experiment results demonstrate that our strategy is effective in enhancing content distribution efficiency, with an average reduction of 43% in data delivery delay and 90% improvement in cache hit ratio under various content scenarios as compared to state-of-the-art approaches.

源语言英语
主期刊名GLOBECOM 2023 - 2023 IEEE Global Communications Conference
出版商Institute of Electrical and Electronics Engineers Inc.
4890-4895
页数6
ISBN(电子版)9798350310900
DOI
出版状态已出版 - 2023
活动2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, 马来西亚
期限: 4 12月 20238 12月 2023

出版系列

姓名Proceedings - IEEE Global Communications Conference, GLOBECOM
ISSN(印刷版)2334-0983
ISSN(电子版)2576-6813

会议

会议2023 IEEE Global Communications Conference, GLOBECOM 2023
国家/地区马来西亚
Kuala Lumpur
时期4/12/238/12/23

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