Abstract
This article presents edge computing as a new approach which can significantly benefit development of Industry 4.0 in different areas. The edge computing was explained in comparison with cloud computing. Its main advantages can be obtained implementing both edge and cloud computing as a hybrid solution. The advantages of the new data management method were assigned to the topics comprised within each of the three differentiated main research areas built in the Industry 4.0 paradigm: Individualization of production, Horizontal integration in collaborative networks, End-to-End digital integration. The tables designed show impact of the advances resulting from edge computing on the development possibilities in manufacturing and production while realizing the most probable exploitation and growth scenarios. To make the predictions based on the literature more realistic there was presented a case study of the project where edge device for stereoscopic 180° live video streaming was planned to be implemented bringing significant improvements into the data capturing and management process. The algorithmic possibilities presented may be analogically exploited in the topics mentioned in all the three main Industry 4.0 theme groups.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M.: How virtualization decentralization and network building change the manufacturing landscape: an industry 4.0 perspective. Int. J. Inf. Commun. Eng. 8(1), 37–44 (2014)
Liao, Y., Deschamps, F., Loures, E.D.F.R., Ramos, L.F.P.: Past, present and future of industry 4.0 - a systematic literature review and research agenda proposal. Int. J. Prod. Res. 55, 3609–3629 (2017)
Ai, Y., Peng, M., Zhang, K.: Edge computing technologies for Internet of Things: a primer. Digit. Commun. Netw. 4, 77–86 (2017)
Bizanis, N., Kuipers, F.A.: SDN and virtualization solutions for the Internet of Things: a survey. IEEE Access 4, 5591–5606 (2016)
Razzaque, M.A., Milojevic-Jevric, M., Palade, A., Clarke, S.: Middleware for Internet of Things: a survey. IEEE Internet Things J. 3, 70–95 (2016)
Chiang, M., Zhang, T.: Fog and IoT: an overview of research opportunities. IEEE Internet Things J. 3, 854–864 (2016)
Gayathri, M.R., Srinivas, K.: A survey on mobile cloud computing architecture, applications and challenges. Int. J. Sci. Re. Eng. Technol. 3(6) 2014
Mao, Y., You, C., Zhang, J., Huang, K., Letaief, K.B.: A survey on mobile edge computing: the communication perspective. IEEE Commun. Surv. Tutorials 19, 2322–2358 (2017)
Shahzadi, S., Iqbal, M., Dagiuklas, T., Qayyum, Z.U.: Multi-access edge computing: open issues, challenges and future perspectives. J. Cloud Comput.: Adv. Syst. Appl. 6 (2017)
Mell, P., Grance, T.: The NIST definition of Cloud Computing, Version 15, 10 July 2009. https://www.nist.gov/sites/default/files/documents/itl/cloud/cloud-def-v15.pdf. Accessed 9 Nov 2018
Varela, M., Putnik, G., Manupati, V., Rajyalakshmi, G., Trojanowska, J., Machado, J.: Collaborative manufacturing based on cloud, and on other I 4.0 oriented principles and technologies: a systematic literature review and reflections. Manag. Prod. Eng. Rev. 9(3), 90–99 (2018)
Khan, I., Trzcieliński, S.: Information technology adaptation in Indian small and medium sized enterprises: opportunities and challenges ahead. Manag. Prod. Eng. Rev. 9(3), 41–48 (2018)
Birje, M.N., Challagidad, P.S., Goudar, R.H., Tapale, M.T.: Cloud computing review: concepts, technology, challenges and security. Int. J. Cloud Comput. 6(1), 32–57 (2017)
Gibson, J., Rondeau, R., Eveleigh, D., Tan, Q.: Benefits and challenges of three cloud computing service models, pp. 198–205. IEEE 2012
Jadeja, Y., Modi, K.: Cloud computing - concepts, architecture and challenges. In: 2012 ICCEET, pp. 877–880. IEEE (2012)
Intharawijitr, K., Iida, K., Koga, H.: Analysis of fog model considering computing and communication latency in 5G cellular networks. In: IEEE International Conference on Pervasive Computing and Communication Workshop, pp. 1–4 (2016)
Oueis, J., Strinati, E.C., Barbarossa, S.: The fog balancing: load distribution for small cell cloud computing. In: 2015 IEEE 81st Vehicular Technology Conference VTC Spring, pp. 1–6 (2015)
Acknowledgments
The project is granted by European Union and financed from European Regional Development Fund under the Smart Growth Program. The project is implemented as a part of ‘Szybka Ścieżka’ competition organized by The National Centre of Research and Development. POIR.01.01.01-00-1111/17.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Gąbka, J. (2019). Edge Computing Technologies as a Crucial Factor of Successful Industry 4.0 Growth. The Case of Live Video Data Streaming. In: Trojanowska, J., Ciszak, O., Machado, J., Pavlenko, I. (eds) Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-18715-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-18715-6_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-18714-9
Online ISBN: 978-3-030-18715-6
eBook Packages: EngineeringEngineering (R0)