PERFORMANCE EVALUATION OF CLOUD SIMULATION AND FOG COMPUTING AND ADVANCED FOG WITH AI UNDER DYNAMIC LOAD CONDITIONS

Abstract

This study presents a comprehensive evaluation of cloud simulation and fog computing systems enhanced with artificial intelligence (AI) under dynamic load conditions. By examining metrics such as latency, CPU utilization, bandwidth, and the System Improvement Factor (SIF), the research highlights the performance improvements achieved through advanced fog computing mechanisms. The findings reveal significant reductions in latency and enhancements in resource efficiency across varying load levels, demonstrating the potential of AI-driven optimizations in fog environments. These results contribute to the understanding and development of scalable, high-performance fog computing systems for real-world applications