EFFICIENT MANAGEMENT OF BIG DATA IN SMART MANUFACTURING THROUGH MULTI-TENANT CLOUD SYSTEMS

The article explores the use of multitenant architecture in cloud information systems for intelligent continuous production. It examines the role of multitenancy in ensuring efficient management of large data volumes and optimizing computational resources. The advantages of implementing multitenant architecture for simultaneously serving multiple clients while ensuring data isolation and stable system performance are highlighted. A detailed system architecture is proposed, utilizing application containerization through Docker and orchestration with Kubernetes. The process of integration with cloud platforms is described, and the stages of system implementation and testing are thoroughly analyzed. The test results confirm the reliability, scalability, and ability of the system to operate efficiently in high-load environments typical of intelligent production processes. Keywords: architecture, continuous manufacturing, multitenancy, cloud systems, data isolation, resource allocation, scaling.

Authors

Publication Details

Journal
Problems of Modeling and Design Automatization
Published
2025-01-01
DOI
https://doi.org/10.31474/2074-7888-2025-1-21-39-44
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

EFFICIENT MANAGEMENT OF BIG DATA IN SMART MANUFACTURING THROUGH MULTI-TENANT CLOUD SYSTEMS

Nataliіa Serdіuk, Maksym Volgust
Problems of Modeling and Design Automatization
Digital Transformation in Industry
article

EFFICIENT MANAGEMENT OF BIG DATA IN SMART MANUFACTURING THROUGH MULTI-TENANT CLOUD SYSTEMS

Nataliіa Serdіuk, Maksym Volgust
article en

Abstract

The article explores the use of multitenant architecture in cloud information systems for intelligent continuous production. It examines the role of multitenancy in ensuring efficient management of large data volumes and optimizing computational resources. The advantages of implementing multitenant architecture for simultaneously serving multiple clients while ensuring data isolation and stable system performance are highlighted. A detailed system architecture is proposed, utilizing application containerization through Docker and orchestration with Kubernetes. The process of integration with cloud platforms is described, and the stages of system implementation and testing are thoroughly analyzed. The test results confirm the reliability, scalability, and ability of the system to operate efficiently in high-load environments typical of intelligent production processes. Keywords: architecture, continuous manufacturing, multitenancy, cloud systems, data isolation, resource allocation, scaling.

Problems of Modeling and Design AutomatizationVol. 1(21)
Openalex Percentile: Top 83%
Digital Transformation in Industry
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EFFICIENT MANAGEMENT OF BIG DATA IN SMART MANUFACTURING THROUGH MULTI-TENANT CLOUD SYSTEMS — Nataliіa Serdіuk, Maksym Volgust · Problems of Modeling and Design Automatization (2025) | TGRS Research Map | TGRS