Migrating monolith system to microservices with directed graph attention neural network

Jianwei Liu; Cheng Zhang

doi:10.1117/12.3026440

9 February 2024 Migrating monolith system to microservices with directed graph attention neural network

Jianwei Liu, Cheng Zhang

Proceedings Volume 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023); 1307307 (2024) https://doi.org/10.1117/12.3026440
Event: Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 2023, Changsha, China

Abstract

Monolithic architecture systems encapsulate all functions in a single deployment unit. With the complexity of business requirements increasing, monolithic architecture systems require significant human resources to maintain. Unlike monolithic architecture, microservices architecture consists of multiple independent, autonomous, functionally cohesive services, making systems more flexible and easier to deploy on the cloud. Therefore, increasingly industrial companies decomposed their monolithic systems and migrated to microservices. During the migration process, how decomposing monolithic architecture appropriately is a critical problem. Software systems have been proven to have the characteristics of graph networks. Some recent studies have used graph neural networks to implement this decomposition task. However, existing works lack fully considering the dependencies and interactions among class nodes. To overcome this limitation, we provide a novel directed graph attention neural network (DGANN) for this task. The main aspect of DGANN is our new design of direct-attention mechanism to fully capture the dependencies between classes while expressing the directionality of class inter-calls. Using DGANN, all the class nodes' information can be learned automatically. Our approach significantly outperforms previous methods on four open-source datasets and several evaluation metrics.

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

Citation Download Citation

Jianwei Liu and Cheng Zhang "Migrating monolith system to microservices with directed graph attention neural network", Proc. SPIE 13073, Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023), 1307307 (9 February 2024); https://doi.org/10.1117/12.3026440

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KEYWORDS

Matrices

Neural networks

Computer architecture

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Design

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Microelectromechanical systems

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