A Review on Autonomous and Adaptive Scheduling Framework for Next-Generation Fog Computing Systems

Fog computing has emerged as an effective paradigm for modern latency-sensitive, resource-intensive and deadline-critical applications. However, for efficient scheduling of dynamic tasks and managing resources, traditional centralized approach poses significant issues. This article presents a systematic review of the literature on adaptive and autonomous scheduling algorithms in Fog computing environment. The challenges of energy efficiency, resource utilization, cost and latency have been addressed in this study. The key contributions of this work provide helpful insights for the researchers in terms of designing robust and sustainable systems that are autonomous and can adapt to the dynamic nature of incoming workload for the modern Fog-Cloud environments. By identifying key limitations, this article paves the way for future research in terms of autonomous and adaptive scheduling frameworks that are lightweight yet effective in nature.