Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Cloud Computing, Big Data and the Industry 4.0


Affiliations
1 Department of BCA, PSGR Krishnammal College for Women, Coimbatore,, India
2 Department of BCA, PSGR Krishnammal College for Women, Coimbatore., India
     

   Subscribe/Renew Journal


The 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 discussing needs, benefits, and challenges of applying cloud computing and big data in the Industry 4.0.

Keywords

Big Data, Cloud Computing, Industry 4.0, Industrial Internet Reference Architecture (IIRA), Reference Architecture Model Industrie 4.0 (RAMI 4.0).
User
Subscription Login to verify subscription
Notifications
Font Size

  • A. T. Kearney, “Readiness for the Future of Production : Country Profiles,” 2017.
  • R. Blanco, J. Fontrodona, and C. Poveda, “La industria 4.0: el estado de la cuestión,” Econ. Ind., no. 406, pp. 151–164, 2017.
  • Plattform Industrie 4.0, “Digitization of Industrie – Platform Industrie 4.0,” Plattf. Ind. 4.0, no. April, p. 28, 2016.
  • IIC, “The Industrial Internet of Things, Volume B01 : Business Strategy and Innovation Framework,” 2016.
  • S. Schrecker et al., “Industrial Internet of Things Volume G4 : Security Framework,” Ind. Internet Consort., pp. 1–173, 2016.
  • I. M. S. Board and F. I. for M. E. and A. IPA, “Factory of the future,” 2015.
  • Dr. Kartsen Schweichhart, “Reference Architectural Model Industrie 4.0 (RAMI 4.0): An Introduction,” in Publikationen der Plattform Industrie 4.0, 2016, vol. 0, no. April.

Abstract Views: 116

PDF Views: 0




  • Cloud Computing, Big Data and the Industry 4.0

Abstract Views: 116  |  PDF Views: 0

Authors

M. B. Premicka
Department of BCA, PSGR Krishnammal College for Women, Coimbatore,, India
K. Geethalakshmi
Department of BCA, PSGR Krishnammal College for Women, Coimbatore., India

Abstract


The 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 discussing needs, benefits, and challenges of applying cloud computing and big data in the Industry 4.0.

Keywords


Big Data, Cloud Computing, Industry 4.0, Industrial Internet Reference Architecture (IIRA), Reference Architecture Model Industrie 4.0 (RAMI 4.0).

References