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Proceedings of the Institute for System Programming of the RAS, 2020, Volume 32, Issue 2, Pages 99–106
DOI: https://doi.org/10.15514/ISPRAS-2020-32(2)-8
(Mi tisp501)
 

This article is cited in 3 scientific papers (total in 3 papers)

Hard drives monitoring automation approach for Kubernetes container orchestration system

A. S. Shemyakinskaya, I. V. Nikiforov

Peter the Great St. Petersburg Polytechnic University
Full-text PDF (396 kB) Citations (3)
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Abstract: Today, a laborious and non-trivial task is to automate monitoring of hard drives in a cluster infrastructure using the Kubernetes container management system. The paper discusses existing approaches to monitoring hard drives in the Kubernetes container orchestration system and provides a comparative analysis of them. Based on the presented analysis, a conclusion is drawn on the need to improve and automate approaches. The paper proposes an approach to automating the collection of metrics from hard drives by implementing the Kubernetes “operator” for a tool with which you can effectively obtain information about the state of hard drives in the system. As results, the temporal characteristics of collecting information about disks using existing approaches and the proposed approach are given. Numerical results and graphs showing the gain of the proposed approach are presented.
Keywords: monitoring of hard drives, Kubernetes Operator, container Orchestration System.
Document Type: Article
Language: English
Citation: A. S. Shemyakinskaya, I. V. Nikiforov, “Hard drives monitoring automation approach for Kubernetes container orchestration system”, Proceedings of ISP RAS, 32:2 (2020), 99–106
Citation in format AMSBIB
\Bibitem{SheNik20}
\by A.~S.~Shemyakinskaya, I.~V.~Nikiforov
\paper Hard drives monitoring automation approach for Kubernetes container orchestration system
\jour Proceedings of ISP RAS
\yr 2020
\vol 32
\issue 2
\pages 99--106
\mathnet{http://mi.mathnet.ru/tisp501}
\crossref{https://doi.org/10.15514/ISPRAS-2020-32(2)-8}
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  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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