Optimize Replica Server Placement in a Satellite Network

Fuente: arXiv
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Main Authors: He, Zhiyuan, Xu, Yi, Luo, Cheng, Qiu, Lili, Yang, Yuqing
Format: Preprint
Published: 2025
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author He, Zhiyuan
Xu, Yi
Luo, Cheng
Qiu, Lili
Yang, Yuqing
author_facet He, Zhiyuan
Xu, Yi
Luo, Cheng
Qiu, Lili
Yang, Yuqing
contents Satellite communication offers Internet connectivity to remote locations, such as villages, deserts, mountains, and at sea. However, transmitting content over satellite networks is significantly more expensive than traditional Internet. To address this issue, we propose placing content replica servers within satellite networks and optimizing replica placement for important performance metrics, such as latency, transmission, and storage cost. Our approach can support different types of satellite networks, including Low Earth Orbit (LEO), Medium Earth Orbit (MEO), Geostationary Orbit (GEO), and their combinations. An important challenge for supporting content replicas in such networks is that LEO and MEO satellites are constantly moving. We address this challenge by explicitly considering their moving trajectories and strategically optimizing not only client performance, but also the cost of transferring content from one satellite to another as needed. We demonstrate the effectiveness of our approach using both simulated traffic traces and a prototype system.
format Preprint
id arxiv_https___arxiv_org_abs_2510_13689
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimize Replica Server Placement in a Satellite Network
He, Zhiyuan
Xu, Yi
Luo, Cheng
Qiu, Lili
Yang, Yuqing
Networking and Internet Architecture
Satellite communication offers Internet connectivity to remote locations, such as villages, deserts, mountains, and at sea. However, transmitting content over satellite networks is significantly more expensive than traditional Internet. To address this issue, we propose placing content replica servers within satellite networks and optimizing replica placement for important performance metrics, such as latency, transmission, and storage cost. Our approach can support different types of satellite networks, including Low Earth Orbit (LEO), Medium Earth Orbit (MEO), Geostationary Orbit (GEO), and their combinations. An important challenge for supporting content replicas in such networks is that LEO and MEO satellites are constantly moving. We address this challenge by explicitly considering their moving trajectories and strategically optimizing not only client performance, but also the cost of transferring content from one satellite to another as needed. We demonstrate the effectiveness of our approach using both simulated traffic traces and a prototype system.
title Optimize Replica Server Placement in a Satellite Network
topic Networking and Internet Architecture
url https://arxiv.org/abs/2510.13689