A method for microservice partitioning of monolithic systems based on multifeature fusion

Xiaoyan Gao; Junfeng Zhao

doi:10.1117/12.3031975

6 June 2024 A method for microservice partitioning of monolithic systems based on multifeature fusion

Xiaoyan Gao, Junfeng Zhao

Proceedings Volume 13175, International Conference on Computer Network Security and Software Engineering (CNSSE 2024); 131751R (2024) https://doi.org/10.1117/12.3031975
Event: 4th International Conference on Computer Network Security and Software Engineering (CNSSE 2024), 2024, Sanya, China

Abstract

With the popularity of microservices architecture, how to refactor a monolithic system into a microservices architecture has become a challenge. Traditional system refactoring strategies often focus on a single aspect, such as conducting source code analysis or system load analysis in isolation. This approach has a limited perspective and cannot comprehensively integrate the diverse characteristics of the system for refactoring. This paper proposes a microservices partitioning method for monolithic systems that integrates multiple features. Firstly, it integrates source code and runtime system data to comprehensively acquire system characteristics. By calculating the semantic similarity of class documents, the similarity of abstract syntax trees, and the frequency of interaction between classes, three types of weights are generated. Then, by assigning different weights, a comprehensive weight is calculated to construct an undirected weighted graph representing dependency relationships. Finally, the Chinese Whisper clustering algorithm is used to partition monolithic systems, obtaining suitable microservice modules. Experimental results show that this method can help developers better understand and partition the system, achieving a microservices architecture with high cohesion and low coupling.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoyan Gao and Junfeng Zhao "A method for microservice partitioning of monolithic systems based on multifeature fusion", Proc. SPIE 13175, International Conference on Computer Network Security and Software Engineering (CNSSE 2024), 131751R (6 June 2024); https://doi.org/10.1117/12.3031975

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KEYWORDS

Feature fusion

Reflection

Modeling

Design

Data modeling

Logic

Computer architecture

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