Microservice Decomposition Techniques: An Independent Tool Comparison

The microservice-based architecture - a SOA-inspired principle of dividing systems into components that communicate with each other using language-agnostic APIs - has gained increased popularity in industry. Yet, migrating a monolithic application into microservices is a challenging task. A number of automated microservice decomposition techniques have been proposed in industry and academia to help developers with the migration complexity. Each of the techniques is usually evaluated on its own set of case study applications and evaluation criteria, making it difficult to compare the techniques to each other and assess the real progress in this field. To fill this gap, this paper performs an independent study comparing eight microservice decomposition tools that implement a wide range of different decomposition principles with each other on a set of four carefully selected benchmark applications. We evaluate the tools both quantitatively and qualitatively, and further interview developers behind two of the selected benchmark applications. Our analysis highlights strengths and weaknesses of existing approaches, and provides suggestions for future research, e.g., to provide differential treatment of application elements of different types, to customize the decomposition strategy and granularity per specific application, and more.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3691620.3695504
Citations
5
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
1.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microservice Decomposition Techniques: An Independent Tool Comparison

Yingying Wang, Julia Rubin, Sarah Bornais
5 citations
Software System Performance and Reliability
1.74
article

Microservice Decomposition Techniques: An Independent Tool Comparison

Yingying Wang, Julia Rubin, Sarah Bornais
article en
5 citations

Abstract

The microservice-based architecture - a SOA-inspired principle of dividing systems into components that communicate with each other using language-agnostic APIs - has gained increased popularity in industry. Yet, migrating a monolithic application into microservices is a challenging task. A number of automated microservice decomposition techniques have been proposed in industry and academia to help developers with the migration complexity. Each of the techniques is usually evaluated on its own set of case study applications and evaluation criteria, making it difficult to compare the techniques to each other and assess the real progress in this field. To fill this gap, this paper performs an independent study comparing eight microservice decomposition tools that implement a wide range of different decomposition principles with each other on a set of four carefully selected benchmark applications. We evaluate the tools both quantitatively and qualitatively, and further interview developers behind two of the selected benchmark applications. Our analysis highlights strengths and weaknesses of existing approaches, and provides suggestions for future research, e.g., to provide differential treatment of application elements of different types, to customize the decomposition strategy and granularity per specific application, and more.

University of British Columbia (CA)
Decent work and economic growth
Openalex Percentile: Top 14%
Software System Performance and Reliability
1.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.