• Saiyam Varshney
• Gur Mauj Saran Srivastava

With the rapid growth of IoT devices and applications, massive amounts of data are generated and processed to address real-world challenges. Fog computing has emerged as a vital solution, enabling data storage and processing closer to the devices through fog nodes, thereby reducing latency and improving system responsiveness. However, the effectiveness of fog computing environments largely depends on efficient scheduling, which ensures optimal Quality of Service (QoS) by managing tasks, resources, workflows, and jobs while balancing key metrics like latency, execution time, and makespan. In this paper, we present a comprehensive analysis of various scheduling approaches in cloud-fog environments, evaluating their trade-offs and optimization strategies. We also explore the tools used for scheduling, their performance parameters, and the challenges encountered. The insights gained from this study offer valuable guidance for improving scheduling strategies and enhancing the efficiency of cloud-fog environments.

Cloud and Fog Computing; Internet of things (IoT); Scheduling Problem; Quality of service (QoS).

"A Comparative Analysis of Scheduling Approaches in Cloud-Fog Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.g653-g665, January-2025, Available :http://www.jetir.org/papers/JETIR2501671.pdf

"A Comparative Analysis of Scheduling Approaches in Cloud-Fog Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppg653-g665, January-2025, Available at : http://www.jetir.org/papers/JETIR2501671.pdf