Perspectives for Fog Computing in Manufacturing

• Autorzy: Pizoń J. , Lipski J.
• Języki publikacji: EN

Abstrakty

EN

This article discusses ongoing efforts to enable the fog computing vision in manufacturing. As a new paradigm of computing implementation of fog computing faces many challenges that open perspective of new applications within a field of manufacturing. It is expected that fog computing will be one of factors that will accelerate development of in forth industrial revolution. In this article we discuss the perspectives of manufacturing companies surrounded by new solutions of CPS, CPPS and CM in relation to fog computing.

Słowa kluczowe

EN

fog computing; Industry 4.0; cloud computing

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2016
• Tom: Vol. 12, no 3
• Strony: 37--46
• Opis fizyczny: Bibliogr. 12 poz., fig.

Twórcy

autor

Pizoń J.

• Lublin University of Technology, Department of Enterprise Organization, Nadbystrzycka 38, 20-618 Lublin, Poland

autor

Lipski J.

• Lublin University of Technology, Department of Enterprise Organization, Nadbystrzycka 38, 20-618 Lublin, Poland

Bibliografia

• 1. Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2014). Fog Computing: A Platform for Internet of Things and Analytics. In N. Besis & C. Dobre (Eds.), Big Data and Internet of Things: A Roadmap for Smart Environments (pp. 169-186). Cham: Springer International Publishing.
• 2. Bonomi, F., Milito, R., Zhu, J., & Addepalli S. (2012). Fog computing and its role in the internet of things. In M. Gerla & D. Huang (Eds.), Proceedings of the first edition of the MCC workshop on Mobile cloud computing (pp. 13-16). New York: ACM.
• 3. Cieplak. T., & Malec, M. (2012). Practical usage of cloud computing in computer integrated manufacturing. In J. Lipski, A. Świć & A. Bojanowska (Eds.), New methods in intustrial engineering and production management (pp. 7-18). Lublin: Politechnika Lubelska.
• 4. Dastjerdi, A. V., Gupta, H., Calheiros, R. N., Ghosh, S. K., & Buyya, R. (2016). Chapter 4 - Fog Computing: principles, architectures, and applications. In R. Buyya & A. V. Dastjerdi (Eds.), Internet of Things. Principles and Paradigms (pp. 61-75). Morgan Kaufmann.
• 5. Harjunkoski, I. (2015). Industrial perspectives on the deployment of scheduling solutions. Computer Aided Chemical Engineering, 37, 63-70.
• 6. Lee, J., Lapira, E., Bagheri, B., & Kao, H. (2013). Recent advances and trends in predictive manufacturing systems in big data environment. Manufacturing Letters, 1(1), 38-41. doi:http://dx.doi.org/10.1016/j.mfglet.2013.09.005
• 7. Monostori, L. (2014). Cyber-physical Production Systems: Roots, Expectations and R&D Challenges. Procedia CIRP, 17, 9-13. doi:http://dx.doi.org/10.1016/j.procir.2014.03.115
• 8. Szczubełek, G. (2014). Zintegrowane systemy wytwarzania. Olsztyn: Uniwersytet Warmińsko-Mazurski w Olsztynie.
• 9. Van der Meulen, R. (2015, November 10). Gartner Says 6.4 Billion Connected "Things" Will Be in Use in 2016, Up 30 Percent From 2015. Gartner. Retrieved from http://www.gartner.com/newsroom/id/3165317
• 10. Vortex Fog. (n.d.). from PrismTech's website, http://www.prismtech.com/vortex/vortex-fog
• 11. Weyer, S., Schmitt, M., Ohmer, M., & Gorecky, D. (2015). Towards Industry 4.0 – Standardization as the crucial challenge for highly modular, multi-vendor production systems. IFAC-PapersOnLine, 48(3), 579-584. doi:http://dx.doi.org/10.1016/j.ifacol.2015.06.143
• 12. Yu, C., Xu, X., & Lu, Y. (2015). Computer-Integrated Manufacturing, Cyber-Physical Systems and Cloud Manufacturing – Concepts and relationships. Manufacturing Letters, 6, 5-9. doi:http://dx.doi.org/10.1016/j.mfglet.2015.11.005

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę