Cloud resource computing power allocation method based on distributed multi-layer deep learning

Xiaodong Zhang; Mingjie Yang; Rui Guo; Lei Di; Wei Wang

doi:10.1117/12.3004090

11 October 2023 Cloud resource computing power allocation method based on distributed multi-layer deep learning

Xiaodong Zhang, Mingjie Yang, Rui Guo, Lei Di, Wei Wang

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128004K (2023) https://doi.org/10.1117/12.3004090
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

Conventional cloud resource computing power allocation methods mainly focus on cloud resource scheduling, and the effect of computing power balanced allocation is poor. Therefore, a cloud resource computing power allocation method based on distributed multi-layer deep learning is designed. Establish a balance point for computing power distribution of cloud resources, increase computing power input at edge nodes, reduce computing power of public nodes, and maintain the overall balance of computing power of cloud resources. Based on distributed multi-layer deep learning, a computing power distribution model of cloud resources is constructed, and computing power in cloud resources is used cooperatively to build a bridge between cloud resources and services. Set the cloud side collaborative computing allocation mechanism, reduce the cost of computing power allocation of cloud resources, and ensure that each allocation is reasonable. By means of comparative experiments, it is verified that the distribution effect of this method is better and can be applied in real life.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaodong Zhang, Mingjie Yang, Rui Guo, Lei Di, and Wei Wang "Cloud resource computing power allocation method based on distributed multi-layer deep learning", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128004K (11 October 2023); https://doi.org/10.1117/12.3004090

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KEYWORDS

Clouds

Distributed computing

Deep learning

Cloud computing

Matrices

Statistical analysis

Data centers

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