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Issue title: Special section: Artificial Intelligence driven Big Data Analytics for COVID-19
Guest editors: Xiaolong Li
Article type: Research Article
Affiliations: Henan Logistics Vocational College, Zhengzhou, Henan, China
Correspondence: [*] Corresponding author. Jiwei Li, Henan Logistics Vocational College, Zhengzhou, Henan, China. E-mail: [email protected].
Abstract: Under the influence of novel corona virus pneumonia epidemic prevention and control, it has put forward higher requirements for data storage and processing for personnel management system. The distributed asynchronous data aided computer information interaction system can solve the problem of multi node concurrent data processing. The traditional computer information interaction system has poor real-time performance, low precision and asynchronous data processing ability. The invocation features of message queuing asynchronous caching mode are combined with the standardization of Web services and cross language with cross platform access features in this paper. Through the combination of the two technologies, a flexible and universal asynchronous interaction architecture of distributed system is established. Based on Web service technology and system to system access, the call and response of tasks between modules are carried out in the system, which makes the interaction between the whole system have the characteristics of message driven. The test result shows that the system proposed in this paper has good real-time performance and strong data processing ability. It is suitable for the data interaction of distributed personal management system under the influence of novel corona virus pneumonia epidemic prevention and control.
Keywords: Web service, distributed asynchronous data, epidemic prevention and control, personal management system
DOI: 10.3233/JIFS-189299
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 9007-9014, 2020
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