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Automatic Microservices Identification from Association Rules of Business Process

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Intelligent Systems Design and Applications (ISDA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 418))

Abstract

Compared to monolithic systems, microservice-oriented architectures is becoming an architectural style that is gaining more and more popularity whether in academia or the industrial world. Microservices emerged as a solution to breaking down monolithic applications into small, self-contained, highly cohesive, and loosely coupled services. However, identifying microservices remains a major challenge that could compromise the success and importance of this migration. In this article, we have proposed an association rules-based architecture to automatically identify microservices from a business process. Indeed, in this approach we have exploited the association analysis method to discover the hidden relationships between the attributes of each activity and consequently the activities which will share the same attributes will be classified in the same microservices. A case study on a bicycle rental system is adopted with the aim of illustrating and demonstrating our approach.

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Author information

Authors and Affiliations

  1. National School for Computer Science, Manouba, Tunisia

    Malak Saidi

  2. University Lyon 1, Villeurbanne, France

    Mohamed Daoud & Djamal Benslimane

  3. VPNC Lab, University of Jendouba, Jendouba, Tunisia

    Anis Tissaoui

  4. Dhar Mahraz, University of Sciences, Fes, Morocco

    Abdelouahed Sabri

  5. ISAMM, University of Manouba, Manouba, Tunisia

    Sami Faiz

Authors
  1. Malak Saidi
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  2. Mohamed Daoud
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  3. Anis Tissaoui
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  4. Abdelouahed Sabri
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  5. Djamal Benslimane
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  6. Sami Faiz
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Corresponding author

Correspondence to Anis Tissaoui .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  3. Institut für Wirtschaftsinformatik, Fachhochschule Nordwestschweiz, Olten, Switzerland

    Thomas Hanne

  4. Department of Computer Science and information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  5. Federal University of Bahia, Ondina, Brazil

    Tatiane Nogueira Rios

  6. Nantong University, Nantong Shi, Jiangsu, China

    Weiping Ding

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Cite this paper

Saidi, M., Daoud, M., Tissaoui, A., Sabri, A., Benslimane, D., Faiz, S. (2022). Automatic Microservices Identification from Association Rules of Business Process. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_44

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