Load Balancing Techniques in Fog and Edge Computing: Issues and Challenges

Abstract

Fog and edge computing are now important considerations in the Internet of Things (IoT) and Industry 4.0 era to meet the growing demand for high throughput, low latency, and minimal makespan processing applications These methods allocate computing resources near data sources. Real-time processing is optimized and network congestion is reduced. Equitable load distribution is a very important issue in dark and edge computing environments. However, the implementation of effective load balancing in foggy environments presents unique challenges due to the dynamic and heterogeneous behavior of the system This paper explores the issues and challenges of balancing loads want about in floodplain estimates and current methods as well as in probability. It provides a comprehensive comparison and solution analysis.