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25 May 2023 Cloud-edge collaboration-based data processing capability reconfiguration optimization in low voltage power distribution grid
Rirong Liu, Jie Zhang, Tao Lu, Qian Li, Zewei Jiang
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Proceedings Volume 12712, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023); 1271216 (2023) https://doi.org/10.1117/12.2678838
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023), 2023, Huzhou, China
Abstract
In order to meet the requirements of lightweight power distribution data processing, raise the utilization rate of new energy resources, improve the processing efficiency of refined services, and minimize the delay. In this paper, the cloud-edge collaboration-based data processing capability reconfiguration architecture is proposed to meet the multi-service requirements of low-voltage power distribution. Secondly, the resource block matching-embedding cloud-edge collaboration data processing capacity reconfiguration algorithm is proposed, achieving embedding of resource blocks to edge servers to minimizes data transmission delay and data computing delay. Simulation results show that compared with traditional matching-based data processing reconfiguration algorithm (TMPR), the proposed algorithm can better guarantee the delay requirement of high priority service.
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Rirong Liu, Jie Zhang, Tao Lu, Qian Li, and Zewei Jiang "Cloud-edge collaboration-based data processing capability reconfiguration optimization in low voltage power distribution grid", Proc. SPIE 12712, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2023), 1271216 (25 May 2023); https://doi.org/10.1117/12.2678838
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KEYWORDS
Data processing
Data transmission
Power grids
Cloud computing
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