000			01978naa a2200253 a 4500
003			AR-LpUFIB
005			20250311170510.0
008			230201s2018 xx o 000 0 eng d
024	8		_aDIF-M8308 _b8528 _zDIF007601
040			_aAR-LpUFIB _bspa _cAR-LpUFIB
100	1		_aVelásquez, Nancy
245	1	0	_aCloud Computing, Big Data and the Industry 4.0 reference architectures
300			_a1 archivo (1,2 MB)
500			_aFormato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
520			_aThe Industry 4.0 promotes the use of Information and Communication Technologies (ICT) in manufacturing processes to obtain customized products satisfying demanding needs of new consumers. The Industry 4.0 approach transforms the traditional pyramid model of automation to a network model of interconnected services, combining operational technology (OT) with Information Technology (IT). This new model allows the creation of ecosystems enabling more flexible production processes through connecting systems and sharing data. In this context, cloud computing and big data are critical technologies for leveraging the approach. Thus, this paper analyzes cloud computing and big data under the lenses of two leading reference architectures for implementing Industry 4.0: 1) the Industrial Internet Reference Architecture (IIRA), and 2) the Reference Architecture Model Industrie 4.0 (RAMI 4.0). A main contribution of this paper is to present a comparative analysis of IIRA and RAMI 4.0, discussing needs, benefits, and challenges of applying cloud computing and big data in the Industry 4.0.
534			_aJournal of Computer Science & Technology, 18(3), pp. 258-266.
650		4	_aBIG DATA
650		4	_aCOMPUTACIÓN EN LA NUBE
650		4	_aINTERNET
700	1		_aEstevez, Elsa Clara
700	1		_aPesado, Patricia Mabel
856	4	0	_uhttps://doi.org/10.24215/16666038.18.e29
942			_cCP
999			_c57374 _d57374