A metaheuristic-based computation offloading in edge-cloud environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-021-03561-7.pdf
Reference30 articles.
1. Aazam M, Zeadally S, Flushing EF (2021) Task offloading in edge computing for machine learning-based smart healthcare. Comput Netw 191:108019
2. Alfakih T, Hassan MM, Gumaei A, Savaglio C, Fortino G (2020) Task offloading and resource allocation for mobile edge computing by deep reinforcement learning based on SARSA. IEEE Access 8:54074–54084
3. Aslanpour MS, Dashti SE, Ghobaei-Arani M, Rahmanian AA (2018) Resource provisioning for cloud applications: a 3-D, provident and flexible approach. J Supercomput 74(12):6470–6501
4. Besharati R, Rezvani MH, Sadeghi MMG (2021) An Incentive-compatible offloading mechanism in fog-cloud environments using second-price sealed-bid auction. J Grid Comput 19(3):1–29
5. Buyya R, Ranjan R, Calheiros RN (2009) Modeling and simulation of scalable cloud computing environments and the CloudSim toolkit: challenges and opportunities. In: 2009 international conference on high performance computing and simulation, pp 1–11. IEEE
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