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Performance and Resilience to Failures of an Cloud-Based Application: Monolithic and Microservices-Based Architectures Compared

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Computer Information Systems and Industrial Management (CISIM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11703))

Abstract

Traditional cloud applications were based on monolithic processes started inside virtual machines. The development of virtualization containers and automated orchestration systems made a new microservices-based architecture of applications possible. The advantages and disadvantages of both application architectures have been already discussed in the literature. However there still a shortage of direct performance comparisons for both application versions. In this paper we present such an experimental study of response times and transaction rates for the same application implemented in monolithic and microservices-based architectures. The ability to survive database failures is also analyzed.

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Notes

  1. 1.

    https://github.com/docker/example-voting-app.

  2. 2.

    https://martinfowler.com/bliki/CQRS.html

  3. 3.

    https://jmeter.apache.org

  4. 4.

    https://github.com/JoeDog/siege

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Authors and Affiliations

  1. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences — SGGW, ul. Nowoursynowska 159, 02-776, Warsaw, Poland

    Michał Jagiełło, Marian Rusek & Waldemar Karwowski

Authors
  1. Michał Jagiełło
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  2. Marian Rusek
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  3. Waldemar Karwowski
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Corresponding author

Correspondence to Marian Rusek .

Editor information

Editors and Affiliations

  1. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  2. University of Calcutta, Calcutta, India

    Rituparna Chaki

  3. Mihajlo Pupin Institute, Belgrade, Serbia

    Valentina Janev

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Jagiełło, M., Rusek, M., Karwowski, W. (2019). Performance and Resilience to Failures of an Cloud-Based Application: Monolithic and Microservices-Based Architectures Compared. In: Saeed, K., Chaki, R., Janev, V. (eds) Computer Information Systems and Industrial Management. CISIM 2019. Lecture Notes in Computer Science(), vol 11703. Springer, Cham. https://doi.org/10.1007/978-3-030-28957-7_37

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  • DOI: https://doi.org/10.1007/978-3-030-28957-7_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28956-0

  • Online ISBN: 978-3-030-28957-7

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