Digital Twin Data Management: Framework and Performance Metrics of Cloud-Based ETL System

Digital Twin Data Management: Framework and Performance Metrics of Cloud-Based ETL System

This study delves into the EA-SAS platform, a digital twin environment developed by our team, with a particular focus on the EA-SAS Cloud Scheduler, our bespoke program designed to optimize ETL (extract, transform, and load) scheduling and thereby enhance automation within industrial systems. We elu...

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Bibliographic Details
Main Authors: Austeja Dapkute, Vytautas Siozinys, Martynas Jonaitis, Mantas Kaminickas, Milvydas Siozinys
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Machines
Subjects:
digital twin
scheduler
data processing
micro-batch processing
stream processing
ETL queue
Online Access:https://www.mdpi.com/2075-1702/12/2/130

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https://www.mdpi.com/2075-1702/12/2/130

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