Resource Scheduling Techniques for Optimal Quality of Service in Fog Computing Environment: A Review

Author:

Goel GauravORCID,Tiwari Rajeev

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference79 articles.

1. Aburukba, R. O., AliKarrar, M., Landolsi, T., & El-Fakih, K. (2020). Scheduling internet of things requests to minimize latency in hybrid fog cloud computing. Future Generation Computer Systems, 111, 539–551.

2. Ghobaei-Arani, M., & Shahidinejad, A. (2022). A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment. Expert Systems with Applications, 200, 117012.

3. Shingare, H., & Kumar, M. (2023). Whale optimization-based task offloading technique in integrated cloud-fog environment. In Soft Computing for Problem Solving: Proceedings of the SocProS 2022 (pp. 459–469). Springer.

4. Kumar, S., & Tiwari, R. (2021). Dynamic popularity window and distance-based efficient caching for fast content delivery applications in CCN, Engineering Science and Technology, an. International Journal, 24, 829–837.

5. Bansal, M., & Malik, S. K. (2020). A multi-faceted optimization scheduling framework based on the particle swarm optimization algorithm in cloud computing. Sustainable Computing: Informatics and Systems, 28, 100429.

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