Study on Fog Computing Enabled Data Processing

Abstract

A study into the potential and advantages of fog computing in facilitating effective data processing at the network edge is presented in this abstract. The use of fog computing architectures and technologies to improve the effectiveness, speed, and scalability of data processing operations at the network edge is known as "fog computing enabled data processing." By bringing computer resources closer to data sources, enabling real-time processing, lowering latency, and optimizing bandwidth utilization, fog computing expands the possibilities of cloud computing. This method works especially well in situations where quick data processing, quick response times, and effective resource use are essential. By placing computational resources closer to data sources, fog computing systems improve data processing processes by lowering latency and enhancing overall system performance. The architecture of fog computing and data processing methods are covered in the study. The results open the door to novel applications and enhanced system performance across a range of areas by furthering our understanding of fog computing architectures and their function in enabling effective and safe data processing at the network edge.