SM@RMFFOG: sensor mining at resource management framework of fog computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-022-04592-3.pdf
Reference32 articles.
1. Mahmud R, Kotagiri R, Buyya R (2018) Fog computing: a taxonomy, survey, and future directions. Internet of everything. Springer, pp 103–130
2. Zhang H et al (2017) A hierarchical game framework for resource management in fog computing. IEEE Commun Mag 55(8):52–57
3. Gupta H et al (2017) iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, edge and fog computing environments. Softw Pract Exp 47(9):1275–1296
4. Ali MI, Gao F, Mileo A (2015) Citybench: a configurable benchmark to evaluate rsp engines using smart city datasets. In: International Semantic Web Conference. 2015. Springer
5. Tönjes R et al (2014) Real time iot stream processing and large-scale data analytics for smart city applications. In: poster session, European Conference on Networks and Communications. .n
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