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An Ontology-based Approach for Domain-driven Design of Microservice Architectures

dc.contributor.authorDiepenbrock, Andreas
dc.contributor.authorRademacher, Florian
dc.contributor.authorSachweh, Sabine
dc.contributor.editorEibl, Maximilian
dc.contributor.editorGaedke, Martin
dc.date.accessioned2017-08-28T23:47:17Z
dc.date.available2017-08-28T23:47:17Z
dc.date.issued2017
dc.description.abstractMicroservice Architecture (MSA) is an emerging service-based architectural style that focuses on the design and implementation of highly scalable distributed software systems. To analyze the business domain and its decomposition into services Domain-driven Design (DDD) is commonly applied. DDD is an approach for designing software that relies on various model-based concepts to express knowledge about the business domain, e.g. the Bounded Context (BC) pattern, which clusters a set of coherent Domain Models (DM). In addition to the fact that MSAs fosters a high degree of team independence, the uncoordinated evolution of DMs that originally were semantically equivalent or partially shared similar semantics can occur. In this paper, we identify challenges related to the semantic decoupling of DMs. Additionally, we present a metamodel for modeling MSAs based on the principles of DDD which allows the expression of semantics for relationships between fragmented DMs and SMs.en
dc.identifier.doi10.18420/in2017_177
dc.identifier.isbn978-3-88579-669-5
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-275
dc.subjectOntologies
dc.subjectDomain-driven Design
dc.subjectMicroservices
dc.subjectWeb Ontology Language
dc.titleAn Ontology-based Approach for Domain-driven Design of Microservice Architecturesen
gi.citation.endPage1791
gi.citation.startPage1777
gi.conference.date25.-29. September 2017
gi.conference.locationChemnitz
gi.conference.sessiontitleBDSDST 2017 – 3rd International Workshop on Big Data, Smart Data and Semantic Technologies

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