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Investigation of Impacts on Network Performance in the Advance of a Microservice Design

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Cloud Computing and Services Science (CLOSER 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 740))

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Abstract

Due to REST-based protocols, microservice architectures are inherently horizontally scalable. That might be why the microservice architectural style is getting more and more attention for cloud-native application engineering. Corresponding microservice architectures often rely on a complex technology stack which includes containers, elastic platforms and software defined networks. Astonishingly, there are almost no specialized tools to figure out performance impacts (coming along with this microservice architectural style) in the upfront of a microservice design. Therefore, we propose a benchmarking solution intentionally designed for this upfront design phase. Furthermore, we evaluate our benchmark and present some performance data to reflect some often heard cloud-native application performance rules (or myths).

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Notes

  1. 1.

    http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html, September 2015.

  2. 2.

    AWS virtual 8-core machine type with 30 GB RAM.

  3. 3.

    AWS virtual 4-core machine type with 15 GB RAM.

  4. 4.

    https://github.com/nkratzke/pingpong.

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Acknowledgements

This study was funded by German Federal Ministry of Education and Research (03FH021PX4). We thank René Peinl and his research group for their valuable feedback and for their contribution to integrate Calico SDN into ppbench. We thank all reviewers for their valuable feedback on our initial conference paper [13], especially Bryan Boreham from Weaveworks.

Author information

Authors and Affiliations

  1. Center of Excellence for Communication, Systems and Applications, (CoSA) Lübeck University of Applied Sciences, 23562, Lübeck, Germany

    Nane Kratzke & Peter-Christian Quint

Authors
  1. Nane Kratzke
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  2. Peter-Christian Quint
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Corresponding author

Correspondence to Nane Kratzke .

Editor information

Editors and Affiliations

  1. Dublin City University, Dublin, Ireland

    Markus Helfert

  2. Columbia University, New York, New York, USA

    Donald Ferguson

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

    Victor Méndez Muñoz

  4. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Jorge Cardoso

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Kratzke, N., Quint, PC. (2017). Investigation of Impacts on Network Performance in the Advance of a Microservice Design. In: Helfert, M., Ferguson, D., Méndez Muñoz, V., Cardoso, J. (eds) Cloud Computing and Services Science. CLOSER 2016. Communications in Computer and Information Science, vol 740. Springer, Cham. https://doi.org/10.1007/978-3-319-62594-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-62594-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62593-5

  • Online ISBN: 978-3-319-62594-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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