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Research Article | Open Access |

A Detailed Classification of the Scheduling Algorithms in Fog Computing Environment, Challenges, and Future Directions

Author 1: Hend Gamal El Din Hassan Ali Author 2: Imane Aly Saroit Author 3: Amira Mohamed Kotb
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 17, No. 3 · Published 2026

DOI: https://doi.org/10.14569/IJACSA.2026.0170352

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Abstract

Fog computing is considered as a distributed computing and storage resource. It is placed near to users rather than cloud computing to reduce latency in Internet of Things sensitive time applications. Several scheduling algorithms were proposed in fog environment to achieve better performance in terms of execution time, cost, latency and quality of services. In this research, a complete study of the different scheduling approaches in the fog computing is illustrated. Also, an operational classification of up-to-date algorithms is highlighted with detailed comparison of their performance metrics.

Keywords

Cloud computing fog computing edge computing Internet of Things scheduling algorithms directed acyclic graph

How to Cite this Article

Ali, H. G. E. D. H., Saroit, I. A., & Kotb, A. M. (2026). A Detailed Classification of the Scheduling Algorithms in Fog Computing Environment, Challenges, and Future Directions. International Journal of Advanced Computer Science and Applications, 17(3). https://doi.org/10.14569/IJACSA.2026.0170352

Ali, Hend Gamal El Din Hassan, et al.. "A Detailed Classification of the Scheduling Algorithms in Fog Computing Environment, Challenges, and Future Directions." International Journal of Advanced Computer Science and Applications, vol. 17, no. 3, 2026, https://doi.org/10.14569/IJACSA.2026.0170352.

@article{Ali2026,
  title     = {A Detailed Classification of the Scheduling Algorithms in Fog Computing Environment, Challenges, and Future Directions},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {17},
  number    = {3},
  year      = {2026},
  publisher = {The Science and Information Organization},
  author    = {Hend Gamal El Din Hassan Ali and Imane Aly Saroit and Amira Mohamed Kotb},
  doi       = {10.14569/IJACSA.2026.0170352},
  url       = {https://doi.org/10.14569/IJACSA.2026.0170352}
}

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