Technologies for Industrial Internet of Things (IIoT): Guidelines for Edge Computing Adoption in the Industry-Reference-Cited by-同舟云学术

Technologies for Industrial Internet of Things (IIoT): Guidelines for Edge Computing Adoption in the Industry

Published:2021 Issue: Volume: Page:259-273
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

de Moura Ralf Luis^ORCID,Brasil Tiago Monteiro^ORCID,Werner Ludmilla Bassini^ORCID,Dal’ Col Claudio José Barcelos^ORCID,Gonzalez Alexandre^ORCID,Quadri Sajjad^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-76063-2_19

Reference27 articles.

1. Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: vision and challenges. IEEE Internet Things J. 3(5), 637–646 (2016)

2. Koustabh, D., Datta, S.K.: Comparison of edge computing implementations: fog computing, cloudlet, and mobile edge computing. In: Global Internet of Things Summit (GIoTS), pp. 1–6. IEEE, Geneva (2017)

3. Blesson, V., et al.: Challenges and opportunities in edge computing. In: 2016 IEEE International Conference on Smart Cloud (SmartCloud). IEEE, New York (2016)

4. Mohammed, E.S., Bennis, M., Saad, W.: Proactive edge computing in latency-constrained fog networks. In: 2017 European Conference on Networks and Communications (EuCNC). IEEE, Oulu (2017)

5. Fan, O., Ansari, N.: Application-aware workload allocation for edge computing-based IoT. IEEE Internet Things J. 5(3), 2146–2153 (2018)

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