Breaking Down Monoliths: A Graph Based Approach to Microservices Migration
Keywords:
Microservices, Monolithic, Clustering Algorithm, Microservices Decomposition, Microservices IdentificationAbstract
Introduction: The software industry has increasingly transitioned from Monolithic Architecture (MA) to Microservices Architecture (MSA) due to the significant advantages offered by MSA. A crucial first step in this migration process is the identification of suitable microservices.
Novelty Statement: This work aims to introduce an automated method for more effectively identifying potential microservices within monolithic applications.
Materials and Methods: Our approach leverages the source code to construct a frequency-based class dependency graph through graph analysis techniques. A clustering algorithm is then applied to this graph to identify optimal candidate microservices.
Results and Discussion: We evaluate the effectiveness of the proposed approach using several metrics, including the number of microservices, Newman-Girvan Modularity (NGM), and F1-Score. The results demonstrate that the approach accurately identifies candidate microservices, achieving an average F1 score of 0.88 and an average NGM score of 0.526.
Concluding Remarks: The proposed approach proves to be an effective tool for assisting developers in migrating from MA to MSA, facilitating a more streamlined transition process.
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