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A Dynamic Resource Scheduling Scheme in Edge Computing Satellite Networks

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Abstract

The LEO satellite network has been a valuable architecture due to its characteristics of wide coverage and low transmission delay. Utilizing LEO satellites as edge computing nodes to provide reliable computing services for access terminals will be the indispensable paradigm of integrated space-air-ground network. However, the design of resource division strategy in edge computing satellite (ECS) is not easy, considering different accessing planes and resource requirements of terminals. Moreover, network topology, available resources and relative motion need to be analyzed comprehensively to establish ECS collaborative network for emergency situations. To address these problems, a three-layer network architecture combined with software defined networking (SDN) model is proposed to guide the inter-satellite link (ISL) connection and ECS resource scheduling. The advanced K-means algorithm (AKG) and breadth-first-search-based spanning tree algorithm (BFST) are provided to realize ECS resource division and ISL construction respectively. Simulation results show that the proposed dynamic resource scheduling scheme is feasible and effective.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (No. 61571104), the Sichuan Science and Technology Program (No. 2018JY0539), the Key projects of the Sichuan Provincial Education Department (No.18ZA0219), the Fundamental Research Funds for the Central Universities (No. ZYGX2017KYQD170), and the Innovation Funding (No. 2018510007000134). The authors wish to thank the reviewers for their helpful comments. Dr. Dingde Jiang is corresponding author of this paper (email: merry_99@sina.com).

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Wang, F., Jiang, D., Qi, S. et al. A Dynamic Resource Scheduling Scheme in Edge Computing Satellite Networks. Mobile Netw Appl 26, 597–608 (2021). https://doi.org/10.1007/s11036-019-01421-5

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