Virtual technology of cache and real-time big data distribution in cloud computing big data center

Issue title: Special section: Artificial Intelligence driven Big Data Analytics for COVID-19

Guest editors: Xiaolong Li

Article type: Research Article

Authors: Zheng, Bing^a | Zhang, Xiaoying^{b; *} | Yun, Dawei^a

Affiliations: [a] Department of Information Engineering, Hainan Vocational University of Science and Technology, Haikou, China | [b] Department of Finance and Economics, Hainan Vocational University of Science and Technology, Haikou, China

Correspondence: [*] Corresponding author. Xiaoying Zhang, Department of Finance and Economics, Hainan Vocational University of Science and Technology, No. 18 Qiongshan Avenue, Haikou 571126, China. E-mail: [email protected].

Abstract: By comparing several cloud computing of big data network center during COVID-19, this paper proposes a new topology model, which realizes two functions of cloud computing big data center caching and big data real-time distribution. In addition, cloud computing network requires higher performance than traditional application big data center, which makes the consideration of network platform construction performance different from the traditional understanding. During COVID-19, we deeply understood the underlying attributes of cloud, combined with the topology model, we can realize the decoupling of cloud computing big data system, change the situation of direct connection between upstream and downstream, and have more reliable and efficient transmission of message and command big data.

Keywords: Measurement and control system, cloud computing, central cache, real time big data distribution

DOI: 10.3233/JIFS-189289

Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8917-8925, 2020