A Microservice-Based Big Data Analysis Platform for Online Educational Applications

Miao, Kehua; Li, Jie; Hong, Wenxing; Chen, Mingtao

doi:10.1155/2020/6929750

Cited by 15 publications

(7 citation statements)

References 22 publications

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“…Zhelev and Rozeva showed that microservices can be used to build an event-driven Big Data architecture that relies heavily on the implementation of microservices [30]. Also Miao et al implemented a microservice based Big Data Analysis Platform for Online Educational Applications [31]. Both describe how they build their architecture and they also described that the main challenge is to keep the data integrity.…”

Section: Microservices In Big Datamentioning

confidence: 99%

Towards a Concept for Building a Big Data Architecture with Microservices

et al. 2021

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Microservices and Big Data are renowned hot topics in computer science that have gained a lot of hype. While the use of microservices is an approach that is used in modern software development to increase flexibility, Big Data allows organizations to turn today’s information deluge into valuable insights. Many of those Big Data architectures have rather monolithic elements. However, a new trend arises in which monolithic architectures are replaced with more modularized ones, such as microservices. This transformation provides the benefits from microservices such as modularity, evolutionary design and extensibility while maintaining the old monolithic product’s functionality. This is also valid for Big Data architectures. To facilitate the success of this transformation, there are certain beneficial factors. In this paper, those aspects will be presented and the transformation of an exemplary Big Data architecture with somewhat monolithic elements into a microservice favoured one is outlined.

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Section: Microservices In Big Datamentioning

confidence: 99%

Towards a Concept for Building a Big Data Architecture with Microservices

et al. 2021

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“…The Spring Boot framework [17] is a subproject under the Spring project and is currently the most popular Java enterprise-level development framework. The Tomcat server is integrated inside the Spring Boot framework, which can be run directly without deployment.…”

Section: Application Of Spring Boot Frameworkmentioning

confidence: 99%

Design and Implementation of Energy Management System Based on Spring Boot Framework

Zhang¹,

Sun²,

Zheng³

et al. 2021

Information

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This paper designs and implements an energy management system based on the Spring Boot framework. The system mainly includes three layers, which are the data collection layer, the business logic layer, and the display interface layer from bottom to top. The data collection layer is based on the RS-485 electrical standard and the MODBUS communication protocol. The two protocols connect all energy consumption monitoring points into a mixed topology communication network in the enterprise. The programs in the data collection layer poll each energy consumption monitoring point in the network to collect the data and transmit to the business logic layer. The business logic layer is developed on the basis of the Spring Boot framework and mainly includes two parts: the MySQL database and Tomcat server. In the MySQL database, the stored data are horizontally split according to the time column and stored in different data tables. The split of data reduces the load of a single data table and improves the query performance of the database. The Tomcat server is built into the Spring Boot framework to provide a basic environment for system operation. The Spring Boot framework is the core component of the system. It is responsible for collecting, storing, and analyzing data from energy consumption monitoring points, receiving and processing data requests from the display interface layer. It also provides standard data interfaces to the external programs. The display interface layer is developed on the basis of the Vue framework and integrated into the Spring Boot framework. The display layer combines an open-source visualization chart library called ECharts to provide users with a fully functional and friendly human–computer interaction interface. Through the calculation of hardware and software costs, considering the personnel cost in different regions, the total cost of the energy management system can be estimated. The cost of construction was approximately 210,000 USD in this paper. Since the system was actually deployed in a manufacturing company in December 2019, it has been operating stably for more than 600 days.

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“…At first, constituting the foundation for the following considerations, giving an overview of the available research and, therefore, taking Factor 1 into account, the results of the conducted search [14]- [16], [36], [49]- [245] are presented. Furthermore, the findings are discussed with the purpose of extracting valuable information and providing context where it is deemed necessary.…”

Section: The Current Situationmentioning

confidence: 99%

“…As a result, a modular design, in contrast to a monolithic architecture, could be desirable [13]. One potential approach to achieve said modularity is the utilization of microservices as building blocks of the BDA solution as a whole [14]- [16].…”

Section: Introductionmentioning

confidence: 99%

Examining the Interplay Between Big Data and Microservices – A Bibliometric Review

Staegemann

Volk

Shakir

et al. 2021

J. Complex Syst. Inform. Model. Q.

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Due to the ever increasing amount of data that is produced and captured in today's world, the concept of big data has risen to prominence. However, implementing the respective applications is still a challenging task. This holds especially true, since a high degree of flexibility is desirable. One potential approach is the utilization of novel decentralized technologies, as in the case of microservices to construct such big data analytics solutions. To obtain an overview of the current situation regarding the corresponding research, using the scientific database Scopus and its provided tools for search and analytics, this bibliometric review provides an analysis of the literature and subsequently discusses avenues for future research.

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A Microservice-Based Big Data Analysis Platform for Online Educational Applications

Cited by 15 publications

References 22 publications

Towards a Concept for Building a Big Data Architecture with Microservices

Towards a Concept for Building a Big Data Architecture with Microservices

Design and Implementation of Energy Management System Based on Spring Boot Framework

Examining the Interplay Between Big Data and Microservices – A Bibliometric Review

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