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From monolithic systems to microservices: A decomposition framework based on process mining

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationCLOSER 2019 - Proceedings of the 9th International Conference on Cloud Computing and Services Science
EditorsDonald Ferguson, Victor Mendez Munoz, Markus Helfert, Claus Pahl
PublisherSCITEPRESS
Pages153-164
Number of pages12
ISBN (Electronic)9789897583650
DOIs
Publication statusPublished - 2019
Publication typeA4 Article in a conference publication
EventInternational Conference on Cloud Computing and Services Science - Heraklion, Crete, Greece
Duration: 2 May 20194 May 2019

Conference

ConferenceInternational Conference on Cloud Computing and Services Science
CountryGreece
CityHeraklion, Crete
Period2/05/194/05/19

Abstract

Decomposition is one of the most complex tasks during the migration from monolithic systems to microservices, generally performed manually, based on the experience of the software architects. In this work, we propose a 6-step framework to reduce the subjectivity of the decomposition process. The framework provides software architects with a set of decomposition options, together with a set of measures to evaluate and compare their quality. The decomposition options are identified based on the independent execution traces of the system by means of the application of a process-mining tool to the log traces collected at runtime. We validated the process, in an industrial project, by comparing the proposed decomposition options with the one proposed by the software architect that manually analyzed the system. The application of our framework allowed the company to identify issues in their software that the architect did not spot manually, and to discover more suitable decomposition options that the architect did not consider. The framework could be very useful also in other companies to improve the quality of the decomposition of any monolithic system, identifying different decomposition strategies and reducing the subjectivity of the decomposition process. Moreover, researchers could extend our approach increasing the support and further automating the decomposition support.

Keywords

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

Publication forum classification

Field of science, Statistics Finland