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International Journal of Frontiers in Sociology, 2021, 3(1); doi: 10.25236/IJFS.2021.030111.

University Library Service in the Era of Big Data

Author(s)

Jing Fang

Corresponding Author:
Jing Fang
Affiliation(s)

JiLin Engineering Normal University, Changchun, China

Abstract

With the continuous promotion of smart campus construction, the rapid development of big data era greatly promotes the process of University Library Intelligence. Under the background of Smart Library, the construction of book micro service is going to a higher level. In the era of big data and micro data, the application of artificial intelligence technology can be improved, and the convenience of big data service platform can be improved. This paper analyzes and summarizes the research status of micro service in university library, and summarizes the research direction, hot spots and difficult issues of Library micro service. Domestic and foreign related literature database access to relevant documents, guidance, analysis and summary. This paper puts forward the definition of micro service in University Smart Library, and summarizes the research direction of micro service in university library. This paper takes MVs intelligent technology as the research topic, analyzes the development status of MVS intelligent technology, and the future development trend of MVS technology in the era of big data. The experimental results show that this study is of great significance for the establishment of micro service in University Library under the background of smart campus in the era of big data.

Keywords

Big Data, Smart Library, Micro Service And Personalized Service

Cite This Paper

Jing Fang. University Library Service in the Era of Big Data. International Journal of Frontiers in Sociology (2021), Vol. 3, Issue 1: 87-94. https://doi.org/10.25236/IJFS.2021.030111.

References

[1] Xu W , Zhou H , Cheng N , et al. Internet of Vehicles in Big Data Era[J]. IEEE/CAA Journal of Automatica Sinica, 2018, 5(1):19-35.

[2] Wang X , Zhang Y , Leung V C M , et al. D2D Big Data: Content Deliveries over Wireless Device-to-Device Sharing in Large Scale Mobile Networks[J]. IEEE Wireless Communications, 2018, 25(1):32-38.

[3] Draxl C , Scheffler M . NOMAD: The FAIR Concept for Big-Data-Driven Materials Science[J]. MRS Bulletin, 2018, 43(9):676-682. Al-Ali A R , Zualkernan I A , Rashid M , et al. A smart home energy management system using IoT and big data analytics approach[J]. IEEE Transactions on Consumer Electronics, 2018, 63(4):426-434.

[4] Rademacher F , Sorgalla J , Sachweh S . Challenges of Domain-Driven Microservice Design: A Model-Driven Perspective[J]. IEEE Software, 2018, 35(3):36-43.

[5] Cerny T , Donahoo M J , Trnka M . Contextual understanding of microservice architecture: current and future directions[J]. ACM SIGAPP Applied Computing Review, 2018, 17(4):29-45.

[6] Yilong Y , Quan Z , Peng L , et al. MicroShare: Privacy-Preserved Medical Resource Sharing through MicroService Architecture[J]. International Journal of Biological Sciences, 2018, 14(8):907-919.

[7] Stephan Lidl. Bereitstellung gemeinsamer digitaler Informationsräume: Der Einsatz von Microservice-Architekturen[J]. Wehrtechnischer report, 2019(1):23-25.

[8] George P , Demetris T , Athanasios T , et al. DevOps as a Service: Pushing the Boundaries of Microservice Adoption[J]. IEEE Internet Computing, 2018, 22(3):65-71.

[9] Gururaja. Journal Of Critical Reviews Micro Service Enterprises In Informal Services Sector: A Case Study Of Beauty Parlours In Mysuru City, Karnataka[J]. Journal of Critical Reviews, 2020, 7(19):3399-3410.

[10] Magdalena Wójcik. Koncepcja smart library i jej zastosowanie w integracji usug informacyjnych[J]. Przegld Biblioteczny, 2019, 87(3):322-333.