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A DSL for MAPE Patterns Representation in Self-adapting Systems Read chapter Read first chapter

2018 | OriginalPaper | Chapter

A Quantitative Approach for the Assessment of Microservice Architecture Deployment Alternatives by Automated Performance Testing

Authors : Alberto Avritzer, Vincenzo Ferme, Andrea Janes, Barbara Russo, Henning Schulz, André van Hoorn

Published in: Software Architecture

Publisher: Springer International Publishing

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Abstract

Microservices have emerged as an architectural style for developing distributed applications. Assessing the performance of architectural deployment alternatives is challenging and must be aligned with the system usage in the production environment. In this paper, we introduce an approach for using operational profiles to generate load tests to automatically assess scalability pass/fail criteria of several microservices deployment alternatives. We have evaluated our approach with different architecture deployment alternatives using extensive lab studies in a large bare metal host environment and a virtualized environment. The data presented in this paper supports the need to carefully evaluate the impact of increasing the level of computing resources on performance. Specifically, for the case study presented in this paper, we observed that the evaluated performance metric is a non-increasing function of the number of CPU resources for one of the environments under study.

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Footnotes
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Metadata
Title
A Quantitative Approach for the Assessment of Microservice Architecture Deployment Alternatives by Automated Performance Testing
Authors
Alberto Avritzer
Vincenzo Ferme
Andrea Janes
Barbara Russo
Henning Schulz
André van Hoorn
Copyright Year
2018
Book
Software Architecture

Print ISBN: 978-3-030-00760-7

Electronic ISBN: 978-3-030-00761-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-00761-4_11

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