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Performance Analysis of RIWM and LDVM Router Replacement Methods for WMNs by WMN-PSOSA-DGA Hybrid Simulation System Considering Stadium Distribution of Mesh Clients Read chapter Read first chapter

2022 | OriginalPaper | Chapter

A Scientific Model to Support Industrial Data Management Process Using Virtualized Environments

Authors : Laércio Pioli Jr., Thiago G. Thomé, Júlia X. M. Nunes, Douglas D. J. de Macedo, Paulo César. R. de L. Junior, Mario A. R. Dantas

Published in: Advances on P2P, Parallel, Grid, Cloud and Internet Computing

Publisher: Springer International Publishing

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Abstract

Nowadays, scientific and industrial fields produce data at rates never seen before. They usually produce an extensive amount of raw data that should be transformed and manipulated to be stored correctly considering different storage perspectives. In many cases, due to the heterogeneity of the temporal data, these storage methods should be configured to make consistent data available for client consumption. Considering raw data management of a natural industrial environment to support specific local tasks, in this paper, an industrial effort model in the context of virtual environment data access was constructed. In this solution, the data were captured, processed, and available in almost real-time for in loco staff through VR technologies. The usage of these virtualized technologies in industrial areas is challenging and promissory due to the wide variety of applications to support locale tasks. The results presented are promising to support tasks and operational demands in complex industrial contexts.

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Metadata
Title
A Scientific Model to Support Industrial Data Management Process Using Virtualized Environments
Authors
Laércio Pioli Jr.
Thiago G. Thomé
Júlia X. M. Nunes
Douglas D. J. de Macedo
Paulo César. R. de L. Junior
Mario A. R. Dantas
Copyright Year
2022
Book
Advances on P2P, Parallel, Grid, Cloud and Internet Computing

Print ISBN: 978-3-030-89898-4

Electronic ISBN: 978-3-030-89899-1

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-89899-1_15