Comparison of MySQL and MongoDB with focus on performance

Filip, Petr; Čegan, Lukáš

doi:10.1109/icimcis51567.2020.9354307

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…The dots on the graphs indicate the results of laboratory experiments aimed to assess the data consistency. Previous research [20] observed other dependencies for the same experimental conditions based on a stationary calculation system scheme. The calculation time lasted from 3.11 to 3.87 seconds for each frontend.…”

Section: Finishmentioning

confidence: 74%

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Developing Methods and Algorithms for Cloud Computing Management Systems in Industrial Polymer Synthesis Processes

et al. 2021

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To date, the resources and computational capacity of companies have been insufficient to evaluate the technological properties of emerging products based on mathematical modelling tools. Often, several calculations have to be performed with different initial data. A remote computing system using a high-performance cluster can overcome this challenge. This study aims to develop unified methods and algorithms for a remote computing management system for modelling polymer synthesis processes at a continuous production scale. The mathematical description of the problem-solving algorithms is based on a kinetic approach to process investigation. A conceptual scheme for the proposed service can be built as a multi-level architecture with distributed layers for data storage and computation. This approach provides the basis for a unified database of laboratory and computational experiments to address and solve promising problems in the use of neural network technologies in chemical kinetics. The methods and algorithms embedded in the system eliminate the need for model description. The operation of the system was tested by simulating the simultaneous statement and computation of 15 to 30 tasks for an industrially significant polymer production process. Analysis of the time required showed a nearly 10-fold increase in the rate of operation when managing a set of similar tasks. The analysis shows that the described formulation and solution of problems is more time-efficient and provides better production modes. Doi: 10.28991/esj-2021-01324 Full Text: PDF

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Section: Finishmentioning

confidence: 74%

“…The application can run on mobile devices used as front-end computers. The database management system that governs the operation of the system is the document-oriented DBMS MongoDB [19,20]. Its choice is justified for several reasons.…”

Section: -3-solutions Used In the Developmentmentioning

confidence: 99%

Developing Methods and Algorithms for Cloud Computing Management Systems in Industrial Polymer Synthesis Processes

et al. 2021

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“…The front end is supported by vuE-AXIos plug-in to provide asynchronous request. The front end sends asynchronous request to the corresponding API interface of the back end with the help of the plug-in, and can start other operations without waiting for the response [11] . After the response arrives and the notification is called back, the next business processing can be carried out.…”

Section: (4) Data Analysis Modulementioning

confidence: 99%

Research on intelligent learning platform system based on Spring Boot

Gan¹,

Huo²,

Cheng³

2022

Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

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With the popularity of the Internet, people's way to explore knowledge began to go to the Internet, digital intelligent learning platform emerged at the historic moment. As for the traditional teaching method, it is taught at a fixed time and place, and the form of education and learning is not free enough. Compared with traditional teaching methods, students can freely access more diverse teaching resources through intelligent learning platform, and they can repeatedly learn the required course knowledge according to actual needs. At the same time, they can also ask questions and communicate on intelligent learning platform. This paper mainly studies the design and implementation of intelligent learning platform based on Spring Boot. The main function of this platform is to seek a convenient means of intelligent teaching and management for teachers and students, so that students can easily study independently and watch the teaching videos uploaded by teachers. Obviously, intelligent learning platform can improve students' enthusiasm for self-study. Technically, the platform uses the front-end and back-end separation architecture to deploy, develop and debug the front-end and back-end projects separately. The front end selects the progressive framework vue. js to complete the complex interaction logic and two-way binding of the front end, and selects ElementUI to design simple pages. Back end selection of Spring Boot, as the overall framework of intelligent learning platform backend, with Java to achieve interface function design, Redis in the Laragon environment to achieve cache optimization, MyBatis to achieve persistent layer development, and MySQL to achieve data storage. This platform provides an intelligent learning and management solution for teachers and students, and is committed to improving the efficiency of learning. After testing, the intelligent learning platform achieved in this paper meets the expected results and achieves good performance.

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