Mobile QR Code QR CODE

REFERENCES

1 
S. Iftikhar, M.M.M. Ahmad, S. Tuli, D. Chowdhury, M. Xu, S.S. Gill, and S. Uhlig, ``HunterPlus: AI based energy-efficient task scheduling for cloud–fog computing environments,'' Internet of Things, vol. 21, p. 100667. Apr. 2023.DOI
2 
G. Shruthi, M.R. Mundada,, B.J Sowmya, and S. Supreeth, ``Mayfly tayloroptimisation-based scheduling algorithm with deep reinforcement learning for dynamic scheduling in fog-cloud computing,'' Applied Computational Intelligence and Soft Computing, vol. 198, no. 1, pp. 117273, Aug. 2022.DOI
3 
A. Pradhan, S.K. Bisoy, S Kautish, M.B. Jasser, and A.W. Mohamed, ``Intelligent Decision-Making of Load Balancing Using Deep Reinforcement Learning and Parallel PSO in Cloud Environment,'' IEEE Access, vol. 10, no. 1, pp. 76939-76952. Jul. 2022.DOI
4 
Z. Movahedi, and B. Defude, ``An efficient population-based multi-objective task scheduling approach in fog computing systems,'' Journal of Cloud Computing, vol. 10, no. 1, pp. 1-31. Dec. 2021.DOI
5 
M. Zahra, and D Bruno, A mohammad Hosseininia, ``An efficient population-based multi-objective task scheduling approach in fog computing systems,'' Journal of Cloud Computing, vol. 10, no. 1, pp. 1-1, Dec. 2021.DOI
6 
F.M. Talaat, H.A. Ali, M.S. Saraya, and A.I. Saleh, ``Effective scheduling algorithmm for load balancing in fog environment using CNN and MPSO,'' Knowledge and Information Systems, vol. 64, no. 3, pp. 773-797. Mar. 2022.DOI
7 
S. Tuli, G. Casale, and N.R. Jennings, ``GOSH: Task scheduling using deep surrogate models in fog computing environments,'' IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 11, pp. 2821-2833. Dec. 2021.DOI
8 
Y.K.Teoh, S.S Gill, and A.K. Parlikad, ``IoT and fog computing based predictive maintenance model for effective asset management in industry 4.0 using machine learning,'' IEEE Internet of Things Journal. Vol. 10, no. 3, pp. 2087-2094, Jan. 2021.DOI
9 
O. Sharma, G. Rathee, and J. Kerrache Herrera-Tapia, ``Two-Stage Optimal Task Scheduling for Smart Home Environment Using Fog Computing Infrastructures,'' Applied Sciences, vol. 13, no. 5, p. 2939. C.A Feb. 2023.DOI
10 
Z. Shi, H. Li, Q. Cao, Z. Wang, and M. Cheng, ``A material decomposition method for dual‐energy CT via dual interactive Wasserstein generative adversarial networks,'' Medical Physics, vol. 48, no. 6, pp. 2891-2905. Jun. 2021.DOI
11 
N. Krishnaraj, A. Daniel, K. Saini, and K. Bellam, ``EDGE/FOG computing paradigm: Concept, platforms and toolchains''. In Advances in Computers (Vol. 127, no. 1, pp. 413-436). Elsevier, Jan. 2022.DOI
12 
T. Tuncer, S Dogan, and F. Ozyurt, ``An automated Residual Exemplar Local Binary Pattern and iterative ReliefF based COVID-19 detection method using chest X-ray image,'' Chemometrics and Intelligent Laboratory Systems, vol. 203, no. 1, pp. 104054. Aug. 2020.DOI
13 
J.O. Agushaka, A.E. Ezugwu, O.N. Olaide, O. Akinola, R.A. Zitar, and L. Abualigah, ``Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems,'' Journal of Bionic Engineering, vol. 1, no. 1, pp. 1-33. Mar. 2022.DOI