Load Balancing in Adaptive Fog Computing: Research Problems and Solutions Framework

Fog computing environments present unique challenges, one of which is load balancing.Problems arise here due to the geographical distribution of nodes and different computational capabilities.This paper presents a comprehensive framework designed to solve load balancing problems in adaptive fog computing systems through dynamic spatial responsibility allocation and hierarchical request distribution.It is recommended to use a multi-tiered load balancing architecture that combines geographic area adaptation, cooperative congestion management mechanisms, and threshold scaling.This framework presents three main strategies.1. based on request density -> dynamic area resizing 2. for high demand scenarios -> horizontal scaling with load balancer deployment 3. through master node coordination for extreme load conditions -> hierarchical congestion management.