Title: Cloud and edge cooperation-based system architecture for multi-layer edge computing

Authors: Ruobin Li; Wei Wang; Shenghua Bian; Xinyu Sun; Xiaoguang Yin

Addresses: Dalian Power Supply Company, State Grid Liaoning Power Co., Ltd., No. 385, Zhongshan Road, Shahekou District, Dalian 116021, Liaoning, China ' Dalian Power Supply Company, State Grid Liaoning Power Co., Ltd., No. 385, Zhongshan Road, Shahekou District, Dalian 116021, Liaoning, China ' Liaoning Electric Power Energy Development Group Co., Ltd., No. 868-17, Shangshengou Village, Hunnan District, Shenyang 110016, Liaoning, China ' Liaoning Electric Power Energy Development Group Co., Ltd., No. 868-17, Shangshengou Village, Hunnan District, Shenyang 110016, Liaoning, China ' Dalian Power Supply Company, State Grid Liaoning Power Co., Ltd., No. 102, Zhongshan Road, Zhongshan District, Dalian 116001, Liaoning, China

Abstract: Centered around edge-cloud cooperation, this research tackles the issue where large repositories of model and operational data amassed in distributed cloud systems lead to substantial stress on core cloud transmission networks, while also posing challenges to maintaining real-time data responsiveness. In this work, we devise a holistic edge-cloud cooperation framework applied to distributed cloud environments analogously. Using the improvement in power grid dispatch control data quality as a case study, we systematically analyse parameters such as network bandwidth management and latency minimisation. The performance of collaborative data processing across the edge and cloud tiers have optimised task decomposition schemes and improved central cloud storage mechanisms. Extensive experiments have demonstrated that the integration of edge-cloud cooperation technologies provides a robust solution to the challenges posed by excessive network bandwidth consumption and the diminished relevance of data in traditional centralised computing models.

Keywords: cloud edge cooperation; edge computing; multi-layer structure; scheduling and control.

DOI: 10.1504/IJIIDS.2026.155305

International Journal of Intelligent Information and Database Systems, 2026 Vol.18 No.3/4, pp.341 - 354

Received: 11 Apr 2024
Accepted: 13 Aug 2024
Published online: 30 Jul 2026 *

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