FogForge: Revolutionizing Waste Management Through Fault-Tolerant Cuckoo Search in Fog-Cloud IoT Systems

In today's technological landscape, fog computing serves as a vital link, bridging edge devices with traditional cloud infrastructures. “Fog computing provides considerable benefits over cloud computing, in particular at reducing latency, delays and increasing fault tolerance”. By harnessing computational resources near the network edge, fog computing effectively mitigates latency challenges inherent in cloud-based architectures, while simultaneously bolstering fault tolerance mechanisms. The primary objectives is to optimize fog computing systems by reducing latency and assuring efficient error handling, which is vital to reliable and quick system functioning. Additionally, the study introduces novel enhancements to fault tolerance through the integration of queueing-based cuckoo search algorithms, thus optimizing system reliability. The paper's contributions extend to practical applications, notably in the realm of smart waste management, where fog computing demonstrates significant efficacy. Leveraging empirical analysis conducted using the iFogSim simulator, the study presents compelling outcomes, including a substantial 47.33% reduction in latency. Furthermore, fault tolerance sees notable improvements, evidenced by a reduced Fault Occurrence Frequency of 6 incidents per hour and a shortened Fault Recovery Time of 3 minutes and 20 seconds. These findings underscore the transformative potential of fog computing in revolutionizing the efficiency and reliability of IoT applications. The future direction implies the real-world implementation of the smart waste management and implementing over the geographically distributed.