Cloud Computing, Big Data and the Industry 4.0 Reference Architectures

被引:35
|
作者
Velasquez, Nancy [1 ]
Estevez, Elsa [2 ,3 ]
Pesado, Patricia [1 ,4 ]
机构
[1] Univ Nacl La Plata, Fac Informat, La Plata, Buenos Aires, Argentina
[2] Univ Nacl Sur, Dept Comp Sci & Engn, Bahia Blanca, Buenos Aires, Argentina
[3] UNS CONICET, Inst Comp Sci & Engn, Bahia Blanca, Buenos Aires, Argentina
[4] UNLP, Fac Informat, Res Inst Informat LIDI, La Plata, Buenos Aires, Argentina
来源
关键词
Big Data; Cloud Computing; Industry; 4.0; Industrial Internet Reference Architecture (IIRA); Reference Architecture Model Industrie 4.0 (RAMI 4.0);
D O I
10.24215/16666038.18.e29
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 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.
引用
收藏
页码:258 / 266
页数:9
相关论文
共 50 条
  • [1] Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0
    Aceto, Giuseppe
    Persico, Valerio
    Pescape, Antonio
    [J]. JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2020, 18
  • [2] Reference Architectures for Industry 4.0: Literature Review
    Helmann, Alexandre
    Deschamps, Fernando
    Rocha Loures, Eduardo de Freitas
    [J]. TRANSDISCIPLINARY ENGINEERING FOR COMPLEX SOCIO-TECHNICAL SYSTEMS - REAL-LIFE APPLICATIONS, 2020, 12 : 171 - 180
  • [3] Cloud Computing for Big Data Analytics in the Process Control Industry
    Goldin, E.
    Feldman, D.
    Georgoulas, G.
    Castano, M.
    Nikolakopoulos, G.
    [J]. 2017 25TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2017, : 1373 - 1378
  • [4] The Impact of Big Data and Cloud Computing on Traditional Accounting Industry
    Li, Xiao-ting
    Xu, Jian
    [J]. 2018 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN MANAGEMENT SCIENCE AND ENGINEERING (AMSE 2018), 2018, 292 : 187 - 191
  • [5] Guest Editorial Special Section on Cloud Computing, Edge Computing, Internet of Things, and Big Data Analytics Applications for Healthcare Industry 4.0
    Celesti, Antonio
    Amft, Oliver
    Villari, Massimo
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (01) : 454 - 456
  • [6] Application Of Cloud Computing In Biomedicine Big Data Analysis Cloud Computing In Big Data
    Yang, Tianyi
    Zhao, Yang
    [J]. 2017 INTERNATIONAL CONFERENCE ON ALGORITHMS, METHODOLOGY, MODELS AND APPLICATIONS IN EMERGING TECHNOLOGIES (ICAMMAET), 2017,
  • [7] Fog Computing Complementing Cloud Computing to Facilitate Industry 4.0
    Matt, Christian
    [J]. BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2018, 60 (04): : 351 - 355
  • [8] Cloud Computing and Big Data
    Hsu, Ching-Hsien
    Tang, Chunming
    Esteves, Rui M.
    [J]. JOURNAL OF INTERNET TECHNOLOGY, 2014, 15 (06): : 995 - 997
  • [9] Big data and cloud computing
    Shrestha, Rasu B.
    [J]. APPLIED RADIOLOGY, 2014, 43 (03) : 32 - 34
  • [10] Industry 4.0 and big data innovations
    Li, Gang
    Tan, Jianlong
    Chaudhry, Sohail S.
    [J]. ENTERPRISE INFORMATION SYSTEMS, 2019, 13 (02) : 145 - 147