Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Microservice Identification by Partitioning Monolithic Web Applications Based on Use-Cases

  • Si-Hyun Kim (School of Computer Science and Information Engineering, The Catholic University of Korea) ;
  • Daeil Jung (School of Computer Science and Information Engineering, The Catholic University of Korea) ;
  • Norhayati Mohd Ali (Faculty of Computer Science and Information Technology, Universiti Putra Malaysia) ;
  • Abu Bakar Md Sultan (Faculty of Computer Science and Information Technology, Universiti Putra Malaysia) ;
  • Jaewon Oh (School of Computer Science and Information Engineering, The Catholic University of Korea)
  • Received : 2023.09.19
  • Accepted : 2023.11.30
  • Published : 2023.12.31
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Abstract

Several companies have migrated their existing monolithic web applications to microservice architectures. Consequently, research on the identification of microservices from monolithic web applications has been conducted. Meanwhile, the use-case model plays a crucial role in outlining the system's functionalities at a high level of abstraction, and studies have been conducted to identify microservices by utilizing this model. However, previous studies on microservice identification utilizing use-cases did not consider the components executed in the presentation layer. Unlike existing approaches, this paper proposes a technique that considers all three layers of web applications (presentation, business logic, and data access layers). Initially, the components used in the three layers of a web application are extracted by executing all the scenarios that constitute its use-cases. Thereafter, the usage rate of each component is determined for each use-case and the component is allocated to the use-case with the highest rate. Then, each use-case is realized as a microservice. To verify the proposed approach, microservice identification is performed using open-source web applications.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2021R1F1A1048842). This study was supported by the Research Fund, 2021 of The Catholic University of Korea. This paper is a revised and expanded version of a Master's thesis [37] written by one of the authors.

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