A novel satellite application deployment method in Satellite Constellation through Inter-Satellite Links

The increasing reliance on satellite constellations for global connectivity, particularly in remote and underserved areas, poses significant challenges in task scheduling within these networks. As satellite systems become integral components of edge computing architectures, optimizing task allocation and timing becomes crucial to ensure efficient operation and service delivery. In response to these challenges, this article introduces an innovative approach to task scheduling within satellite constellations, which are increasingly functioning as edge computing platforms. By leveraging Inter-Satellite Links and focusing on the intricate dependencies among satellite tasks, we have developed the SA-DCoSA algorithm, specifically tailored to address the unique timing constraints inherent in satellite applications. The effectiveness of this algorithm is highlighted by substantial improvements in application on-time completion rates and reductions in overall task completion times, as validated through rigorous simulations using real Iridium constellation Two-Line Element set data. This work not only advances the operational efficiency of satellite networks but also enhances their capacity to meet the growing demands of global connectivity.

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Publication Details

Journal
Journal of Cloud Computing Advances Systems and Applications
Published
2025-11-28
DOI
https://doi.org/10.1186/s13677-025-00808-y
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

A novel satellite application deployment method in Satellite Constellation through Inter-Satellite Links

Xifeng Xu, Jiale Zhao, Yunni Xia, Mengdi Wang et al.
Journal of Cloud Computing Advances Systems and Applications
Satellite Communication Systems
article

A novel satellite application deployment method in Satellite Constellation through Inter-Satellite Links

Xifeng Xu, Jiale Zhao, Yunni Xia, Mengdi Wang, Yang Yu, Qinglan Peng
article en

Abstract

The increasing reliance on satellite constellations for global connectivity, particularly in remote and underserved areas, poses significant challenges in task scheduling within these networks. As satellite systems become integral components of edge computing architectures, optimizing task allocation and timing becomes crucial to ensure efficient operation and service delivery. In response to these challenges, this article introduces an innovative approach to task scheduling within satellite constellations, which are increasingly functioning as edge computing platforms. By leveraging Inter-Satellite Links and focusing on the intricate dependencies among satellite tasks, we have developed the SA-DCoSA algorithm, specifically tailored to address the unique timing constraints inherent in satellite applications. The effectiveness of this algorithm is highlighted by substantial improvements in application on-time completion rates and reductions in overall task completion times, as validated through rigorous simulations using real Iridium constellation Two-Line Element set data. This work not only advances the operational efficiency of satellite networks but also enhances their capacity to meet the growing demands of global connectivity.

Journal of Cloud Computing Advances Systems and ApplicationsVol. 15(1)
Chongqing University of Posts and Telecommunications (CN), Chongqing University (CN), Henan University of Technology (CN), Henan University of Engineering (CN), New Huadu Business School (CN)
Openalex Percentile: Top 52%
Satellite Communication Systems
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