aspg-18-3268-1792028116 20261015013516 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Intelligent Systems and Internet of Things JISIoT 2769-786X 2690-6791 2025 14 2 Lei Hu Operation and Maintenance Section of Assets Department, Jiangxi Institute of Fashion Technology, Nanchang 330201, Jiangxi, China; Information Technology Integration Innovation Center, Intelli Yangxia Shu College of Big Date Science, Jiangxi Institute of Fashion Technology, Nanchang 330201, Jiangxi, China; Information Technology Integration Innovation Center, Intelligent Research and Innovatio Due to the large demand for big data storage capacity, the storage intensity index is not calculated in the current big data cloud storage process, resulting in a high storage space usage. This paper proposes a big data efficient hybrid cloud storage model and algorithm under 5G network. The model is based on the 5G network performance framework and consists of three parts: users, private cloud and public cloud storage service providers. The purpose of efficient hybrid cloud storage of big data is achieved by using consistent hash algorithm. The simulation results show that the above algorithm occupies less storage memory space, the device load variance is smaller, the overall system load is more stable and balanced, and the average response is fast, which provides a favorable basis for the efficient hybrid cloud storage algorithm of big data. 2025 103 114 3268 https://creativecommons.org/licenses/by/4.0/ 10.54216/JISIoT.140209 https://americaspg.com/journal/18/article/3268 https://americaspg.com/storage/31729800914.pdf