Research on Big Data efficient hybrid cloud storage model and algorithm based on 5G network

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.

Authors

Publication Details

Journal
Journal of Intelligent Systems and Internet of Things
Published
2024-10-24
DOI
https://doi.org/10.54216/jisiot.140209
Primary Topic
Advanced Technology in Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Big Data efficient hybrid cloud storage model and algorithm based on 5G network

Lei Lei, Yangxia Shu
Journal of Intelligent Systems and Internet of Things
Advanced Technology in Applications
article

Research on Big Data efficient hybrid cloud storage model and algorithm based on 5G network

Lei Lei, Yangxia Shu
article en

Abstract

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.

Journal of Intelligent Systems and Internet of ThingsVol. 14(2)
Openalex Percentile: Top 71%
Advanced Technology in Applications
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