Abstract
Microservices oriented architecture has become increasingly popular, especially with the rise in the use of resource-intensive applications. Indeed, companies are faced with challenges related to the performance of their services in terms of technical infrastructure cost and in terms of development, deployment and system maintenance.
However, microservices allow the company to react much more promptly to new requirements and therefore avoid an endless development process over several years. Identifying microservices that are cohesive, loosely coupled, and fine-grained nowadays is a major challenge for most organizations. To address this challenge, we have proposed in this paper a technique for identifying microservices which decomposes our system using clustering. To this end, we have used the business process as the system input and we have only taken into account the aspect of structural dependency.
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Saidi, M., Tissaoui, A., Benslimane, D., Faiz, S. (2022). Automatic Microservices Identification Across Structural Dependency. In: Abraham, A., et al. Hybrid Intelligent Systems. HIS 2021. Lecture Notes in Networks and Systems, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-030-96305-7_36
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DOI: https://doi.org/10.1007/978-3-030-96305-7_36
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