Analysis of Greedy, Semi-greedy, and Random Scheduling Heuristics with DVFS for Heterogeneous Fog Computing Platform
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7077-3_41
Reference24 articles.
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2. Azizi S, Shojafar M, Abawajy J, Buyya R (2022) Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: a semi-greedy approach. J Netw Comp Appl 201:103333
3. Bansal S, Bansal RK, Arora K (2020) Energy-cognizant scheduling for preference-oriented fixed- priority real-time tasks. J Syst Architect 108:101743
4. Bansal S, Bansal RK, Arora K (2021) Energy efficient backup overloading schemes for fault tolerant scheduling of real-time tasks. J Syst Architect 113:101901
5. Belmahdi R, Mechta D, Harous S (2021) A survey on various methods and algorithms of scheduling in fog computing. Ingénierie des Systèmes d’Information 26(2):211–224
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