A Case Study on Monolith to Microservices Decomposition with Variational Autoencoder-Based Graph Neural Network Article Swipe
Rokin Maharjan
,
Korn Sooksatra
,
Tomáš Černý
,
Yudeep Rajbhandari
,
Sabina Shrestha
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/fi17070303
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/fi17070303
Microservice is a popular architecture for developing cloud-native applications. However, decomposing a monolithic application into microservices remains a challenging task. This complexity arises from the need to account for factors such as component dependencies, cohesive clusters, and bounded contexts. To address this challenge, we present an automated approach to decomposing monolithic applications into microservices. Our approach uses static code analysis to generate a dependency graph of the monolithic application. Then, a variational autoencoder (VAE) is used to extract features from the components of a monolithic application. Finally, the C-means algorithm is used to cluster the components into possible microservices. We evaluate our approach using a third-party benchmark comprising both monolithic and microservice implementations. Additionally, we compare its performance against two existing decomposition techniques. The results demonstrate the potential of our method as a practical tool for guiding the transition from monolithic to microservice architectures.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/fi17070303
- https://www.mdpi.com/1999-5903/17/7/303/pdf?version=1752393293
- OA Status
- gold
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412389417
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4412389417Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/fi17070303Digital Object Identifier
- Title
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A Case Study on Monolith to Microservices Decomposition with Variational Autoencoder-Based Graph Neural NetworkWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2025Year of publication
- Publication date
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2025-07-13Full publication date if available
- Authors
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Rokin Maharjan, Korn Sooksatra, Tomáš Černý, Yudeep Rajbhandari, Sabina ShresthaList of authors in order
- Landing page
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https://doi.org/10.3390/fi17070303Publisher landing page
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https://www.mdpi.com/1999-5903/17/7/303/pdf?version=1752393293Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1999-5903/17/7/303/pdf?version=1752393293Direct OA link when available
- Concepts
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Computer science, Microservices, Autoencoder, Decomposition, Graph, Monolith, Artificial neural network, Artificial intelligence, Theoretical computer science, Operating system, Cloud computing, Ecology, Biology, Chemistry, Biochemistry, CatalysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| primary_location.pdf_url | https://www.mdpi.com/1999-5903/17/7/303/pdf?version=1752393293 |
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| primary_location.raw_type | journal-article |
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| primary_location.raw_source_name | Future Internet |
| primary_location.landing_page_url | https://doi.org/10.3390/fi17070303 |
| publication_date | 2025-07-13 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W4312282697, https://openalex.org/W2116341502, https://openalex.org/W2907492528, https://openalex.org/W2793609214, https://openalex.org/W2943600496, https://openalex.org/W3009802190, https://openalex.org/W2974106837, https://openalex.org/W3184007005, https://openalex.org/W2943091240, https://openalex.org/W2915587970, https://openalex.org/W3105820675, https://openalex.org/W6790177393, https://openalex.org/W4403648189, https://openalex.org/W4396826397, https://openalex.org/W4285606442, https://openalex.org/W2965857891, https://openalex.org/W4400946578, https://openalex.org/W4406501649, https://openalex.org/W4391697097, https://openalex.org/W4403016218, https://openalex.org/W4381803634, https://openalex.org/W6874020753, https://openalex.org/W3196243846, https://openalex.org/W3128808440, https://openalex.org/W4403985416 |
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| corresponding_author_ids | https://openalex.org/A5071398941, https://openalex.org/A5058941408 |
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