This paper proposes a cluster storage algorithm for energy industry Internet information that would enable the access of edge devices. This process includes, among others, the creation of a storage framework for the energy industry Internet information, and collecting various data by sensors, and also performing edge fusion and calculations on the data obtained by the sensor through the edge equipment. Through the UDP-based Data Transfer (UDT) protocol of the data transfer layer, the data is stored in the server cluster by using the object-based cluster storage file system CFSlight. The dynamic load balancing strategy is adopted in order to transfer the energy industry Internet data on the nodes with a heavy load to the nodes with a light load, so as to achieve the load balancing in the context of the server cluster data storage. The experimental results show that the data after edge device fusion and after cluster storage can be read smoothly, and it is accurate, without any loss and pollution. The proposed algorithm can achieve cluster storage for the Internet information in the energy industry, with a short storage time and a good load balancing effect.
Energy industry Internet, Edge equipment, Edge calculation, Data transmission, Cluster storage, Load levelling.
Qing LI, Peng YU, Anzi HUANG, Haifeng QIU, Mengqiu YAN, "Design of Storage Algorithm for Energy Industry Internet Information Cluster Under Edge Device Access", Studies in Informatics and Control, ISSN 1220-1766, vol. 35(3), pp. 97-108, 2026. https://doi.org/10.24846/v35i3y202609
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