Research Article
Dynamic Computing Resource Adjustment in Edge Computing Satellite Networks
@INPROCEEDINGS{10.1007/978-3-030-32216-8_13, author={Feng Wang and Dingde Jiang and Sheng Qi and Chen Qiao and Jiping Xiong}, title={Dynamic Computing Resource Adjustment in Edge Computing Satellite Networks}, proceedings={Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8--10, 2019, Proceedings}, proceedings_a={SIMUTOOLS}, year={2019}, month={10}, keywords={Edge computing LEO satellite network Resource adjustment Space-air-ground network}, doi={10.1007/978-3-030-32216-8_13} }- Feng Wang
Dingde Jiang
Sheng Qi
Chen Qiao
Jiping Xiong
Year: 2019
Dynamic Computing Resource Adjustment in Edge Computing Satellite Networks
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-32216-8_13
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.
