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International Conference on Cloud Computing and Services Science

CLOSER 2019: Cloud Computing and Services Science pp 133–149Cite as

A Decomposition and Metric-Based Evaluation Framework for Microservices

Part of the Communications in Computer and Information Science book series (CCIS,volume 1218)

Abstract

Migrating from monolithic systems into microservice is a very complex task. Companies are commonly decomposing the monolithic system manually, analyzing dependencies of the monolith and then assessing different decomposition options. The goal of our work is two-folded: 1) we provide a microservice measurement framework to objectively evaluate and compare the quality of microservices-based systems; 2) we propose a decomposition system based on business process mining. The microservice measurement framework can be applied independently from the decomposition process adopted, but is also useful to continuously evaluate the architectural evolution of a system. Results show that the decomposition framework helps companies to easily identify the different decomposition options. The measurement framework can help to decrease the subjectivity of the decision between different decomposition options and to evaluate architectural erosion in existing systems.

Keywords

  • Microservices
  • Cloud-native
  • Microservice slicing
  • Microservice decomposition
  • Microservice migration

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Notes

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    Structure101 Software Architecture Environment - http://www.structure101.com.

  2. 2.

    http://schemaspy.sourceforge.net/.

  3. 3.

    The Elastic APM Libraries. https://www.elastic.co/solutions/apm.

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    Dynatrace https://www.dynatrace.com.

  5. 5.

    Datadog https://www.datadoghq.com.

  6. 6.

    https://fluxicon.com/disco/.

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Authors and Affiliations

  1. TASE - Tampere Software Engineering Research Group, Tampere University, Tampere, Finland

    Davide Taibi & Kari Systä

Authors
  1. Davide Taibi
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  2. Kari Systä
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Correspondence to Davide Taibi or Kari Systä .

Editor information

Editors and Affiliations

  1. Columbia University, New York, NY, USA

    Donald Ferguson

  2. Escola d’Enginyeria, Bellaterra, Barcelona, Spain

    Víctor Méndez Muñoz

  3. Free University of Bozen-Bolzano, Bolzano, Bolzano, Italy

    Prof. Dr. Claus Pahl

  4. Dublin City University, Dublin, Ireland

    Dr. Markus Helfert

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Taibi, D., Systä, K. (2020). A Decomposition and Metric-Based Evaluation Framework for Microservices. In: Ferguson, D., Méndez Muñoz, V., Pahl, C., Helfert, M. (eds) Cloud Computing and Services Science. CLOSER 2019. Communications in Computer and Information Science, vol 1218. Springer, Cham. https://doi.org/10.1007/978-3-030-49432-2_7

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  • DOI: https://doi.org/10.1007/978-3-030-49432-2_7

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