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Horizontal Scaling Implementation with Container Orchestrator. Reliability Analysis during Stress and Performance TestingDINCA, A.-M.   , AXINTE, S.-D. , BACIVAROV, I. , PETRICA, G. |
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Author keywords
automated virtualization, container orchestrator, horizontal scaling, infrastructure reliability, performance indicators
References keywords
software(9), cloud(9), kubernetes(7), docker(6), computing(6), applications(5), technology(4), performance(4), orchestration(4), network(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2024-08-31
Volume 24, Issue 3, Year 2024, On page(s): 23 - 32
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2024.03003
Web of Science Accession Number: 001306111400003
SCOPUS ID: 85202992366
Abstract
Software platforms infrastructure encompasses the collection of physical resources used concomitantly for user interactions, computational or persistence operations. Virtualization facilitates dynamic allocation of resources to a platform, while staying within the infrastructure's limits, enabling deployments of multiple environments on a server, maximizing the computational power. This paper focuses on practical applications of virtualization principles on software platforms, and the analysis of performance indicators. Section II is centered on the Docker feature that packages the source code into images, facilitating testing in local containers, preparing them for the container orchestrator, Kubernetes that designs, creates and scales infrastructure components. The platform was scaled horizontally, because this method accommodates the applications technical requirements, as stated in Section V. To identify the underlying causes of an inefficient auto-scaling infrastructure, a Fishbone analysis was conducted, followed by a novel proposal of triggering scaling operations, using AI tools that decide when to rescale an infrastructure, instead of traditional alert levels. The simple and advanced health check mechanisms are studied and implemented in Section VI, through separate APIs that validate the systems status and dependencies automatically and periodically using Docker commands, proving the misleadingness of the container for the former, demonstrating the importance of such progressive mechanisms. |
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Faculty of Electrical Engineering and Computer Science
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All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
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