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Granularity Decision of Microservice Splitting in View of Maintainability and Its Innovation Effect in Government Data Sharing
Joint Authors
Li, Yan
Wang, Chun-Zi
Li, Ying-chao
Su, Jia
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-04
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The reasonable sharing and effective integration of data is the premise of improving the comprehensive governance ability of society through data empowerment.
It can be determined that the fine-grained splitting of microservice framework can promote the reasonable sharing and effective integration of data.
However, how to determine the granularity of microservice splitting is a multiparameter and multiobjective decision-making problem, which is also a key basic problem to be solved urgently both in academic research and application.
From the perspective of application, this paper puts forward the criteria and basic framework that can guide the microservice splitting, and for the first time, based on the perspective of maintainability, it gives the decision criteria and methods of microservice splitting granularity.
After the theoretical research, this paper also takes the provincial microservice governance of food and drug regulation as an example: the example shows that the framework and methods proposed can effectively improve data sharing and system expandability.
Through microservice governance, collaborative social governance featuring “one network to achieve management objectives, one network to realize comprehensive business processing, one network for comprehensive view of all information” can be achieved.
It is an exemplary mode worth popularization.
American Psychological Association (APA)
Li, Yan& Wang, Chun-Zi& Li, Ying-chao& Su, Jia. 2020. Granularity Decision of Microservice Splitting in View of Maintainability and Its Innovation Effect in Government Data Sharing. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1152786
Modern Language Association (MLA)
Li, Yan…[et al.]. Granularity Decision of Microservice Splitting in View of Maintainability and Its Innovation Effect in Government Data Sharing. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1152786
American Medical Association (AMA)
Li, Yan& Wang, Chun-Zi& Li, Ying-chao& Su, Jia. Granularity Decision of Microservice Splitting in View of Maintainability and Its Innovation Effect in Government Data Sharing. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1152786
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1152786