Research Article
Smart Campus Business Flow Reconstruction Algorithm Based on Unified Identity Authentication and Microservices
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342735, author={Zaiyi Pu}, title={Smart Campus Business Flow Reconstruction Algorithm Based on Unified Identity Authentication and Microservices}, proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India}, publisher={EAI}, proceedings_a={ICSETPSD}, year={2024}, month={1}, keywords={smart campus campus business flow reconstruction algorithm uniform identity authentication microservices architecture}, doi={10.4108/eai.17-11-2023.2342735} }
- Zaiyi Pu
Year: 2024
Smart Campus Business Flow Reconstruction Algorithm Based on Unified Identity Authentication and Microservices
ICSETPSD
EAI
DOI: 10.4108/eai.17-11-2023.2342735
Abstract
Many schools still have manual or semi-automated business processes, which are not only inefficient but also prone to errors. How to use information technology, especially Uniform Identity Authentication (IDS) and microservices, to reconstruct these business flows to achieve the goal of improving efficiency and quality is an urgent one. This paper analyzes a smart campus business flow reconstruction algorithm based on IDS and microservices, introduces the concept of IDS and the theoretical basis of microservices architecture, and clarifies the important role of IDS in smart campus business flow. This paper emphasized the necessity of microservices architecture for business flow reconfiguration, discussed the main steps and methods of identity authentication mechanism reconfiguration and business flow reconfiguration, and pointed out the reconfiguration strategies based on IDS and microservices. Through the experimental test of the smart campus based on IDS and microservices, it was found that through the application of IDS, users could seamlessly switch between systems by logging in once, which greatly improved the user experience and work efficiency. The comprehensive performance score of the system was improved by approximately 10.1%.