The System Architecture and Methods for Efficient Resource-Saving Scheduling in the Fog
Author:
Affiliation:
1. Institute of IT and Security Technologies, Kirovogradskaya St. 25-2, 117534 Moscow, Russia
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/33/1/9/pdf
Reference14 articles.
1. A Method Based on the Combination of Laxity and Ant Colony System for Cloud-Fog Task Scheduling;Xu;IEEE Access,2019
2. Alenizi, F., and Rana, O. (2021). Fog Computing: Towards Dynamically Controlling the Offloading Threshold and Managing Fog Resources in Online Dynamic Systems. Preprints.org.
3. Developing applications in large scale, dynamic fog computing: A case study;Giang;Softw. Pract. Exp.,2020
4. Zhiglyavsky, A., and Zhilinskas, A. (1991). A Global Extremum Search Methods, Nauka.
5. Klimenko, A., and Melnik, E. (2021). Artificial Intelligence in Intelligent Systems: Proceedings of 10th Computer Science On-Line Conference 2021, Springer International Publishing.
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