Abstract
The LEO constellation has been a valuable network framework due to its characteristics of wide coverage and low transmission delay. Utilizing LEO satellites as edge computing nodes to provide reliable computing services for accessing 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. To address these problems, we establish the resource requirements model of various terminals. Meanwhile, the advanced K-means algorithm (AKG) is provided to realize ECS resource allocation. Then, a fleet-based adjustment (FBA) scheme is proposed to realize dynamic adjustment of resource for ECSs. Simulation results show that the proposed dynamic resource adjustment scheme is feasible and effective.
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Acknowledgment
This work was supported by National Natural Science Foundation of China (No. 61571104), Sichuan Science and Technology Program (No. 2018JY0539), Key projects of the Sichuan Provincial Education Department (No. 18ZA0219), Fundamental Research Funds for the Central Universities (No. ZYGX2017KYQD170), and Innovation Funding (No. 2018510007000134). The authors wish to thank the reviewers for their helpful comments.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, F., Jiang, D., Qi, S., Qiao, C., Xiong, J. (2019). Dynamic Computing Resource Adjustment in Edge Computing Satellite Networks. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-32216-8_13
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DOI: https://doi.org/10.1007/978-3-030-32216-8_13
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