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Information and Telecommunication Sciences
Article . 2020 . Peer-reviewed
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IMPROVED CLUSTER MANAGEMENT METHOD FOR INDUSTRIAL “INTERNET OF THINGS” NETWORKS

Вдосконалений кластеризований метод управління для мереж промислового “Інтернету речей”
Authors: Davydiuk, Andriy M.; Astrakhantsev, Andrii A.;

IMPROVED CLUSTER MANAGEMENT METHOD FOR INDUSTRIAL “INTERNET OF THINGS” NETWORKS

Abstract

Background. With growing technological level and the corresponding availability of computational devices, sharply appears the problem of providing the high availability of high-loaded systems, as well as the reliability of the data storage and integrity. Therefore, it is not surprising that a large number of solutions have put high demands to the data manipulation.Objective. The aim of the paper is to create a generic algorithm for industrial IoT networks that will be used for managing containerization components in database clusters.Methods. During the work process most of existing solutions for providing automatic scalability of database cluster have been analyzed. Based on this analysis a special algorithm that manipulates the images of database cluster nodes based on predefined input parameters was proposed.Results. Algorithm for managing database clusters in industrial IoT networks that will allow clients to optimize the resource usage with saving availability and incoming throughput characteristics of the cluster.Conclusions. On the first stage, using this approach in production solutions requires more preparation and administration expenses, compared with existing solutions, but with time, it will give an advantage because the system will fully support the cluster to keep it in optimal condition without human interruption.

Keywords

clusterization, кластеризація, контейнеризация, containerization, industrial IoT networks, контейнеризація, кластеризация, промислова мережа Інтернету речей, промышленная сеть Интернета вещей

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold