Critical analysis of resource sharing and optimization in fog clustering

Fog computing aims to process data closer to its source to reduce latency and enhance application performance. However, the integration of an additional fog layer introduces complexities in resource management and service guarantees. This paper critically analyzes resource sharing and optimization in fog clustering, focusing on adaptive middleware designed to manage resources within and across fog clusters. We present a novel middleware architecture that facilitates efficient load balancing, task scheduling, and inter-cluster communication. The middleware’s performance is evaluated through simulations using OMNeTH++, highlighting improvements in response time and resource utilization compared to traditional cloud processing.