Research on information classification and storage in cloud computing data center based on group collaboration intelligent clustering

Article type: Research Article

Authors: Zhang, Linlin | Zhang, Sujuan^{; *}

Affiliations: Heilongjiang Bayi Agricultural University, Daqing 163319, China

Correspondence: [*] Corresponding author. E-mail: zhangna@mls.sinanet.com.

Abstract: In order to overcome the problems of long time and low accuracy of traditional methods, a cloud computing data center information classification and storage method based on group collaborative intelligent clustering was proposed. The cloud computing data center information is collected in real time through the information acquisition terminal, and the collected information is transmitted. The optimization function of information classification storage location was constructed by using the group collaborative intelligent clustering algorithm, and the optimal solutions of all storage locations were evolved to obtain the elite set. According to the information attribute characteristics, different information was allocated to different elite sets to realize the classified storage of information in the cloud computing data center. The experimental results show that the longest time of information classification storage is only 0.6 s, the highest information loss rate is 10.0%, and the highest accuracy rate is more than 80%.

Keywords: Group collaborative intelligent clustering, cloud computing, information classification storage, information acquisition terminal, optical network

DOI: 10.3233/WEB-210464

Journal: Web Intelligence, vol. 19, no. 1-2, pp. 159-168, 2021