I. Introduction
We talk about the work involved in managing, assessing, and placing virtual resources in response to service demands, in this section. The rapid growth of edge computing has revolutionized the way data is processed, analyzed, and delivered closer to the end-users, offering lower latency and enhanced user experience. Efficiently planning and allocating resources at the edge is critical to ensure optimal performance and responsiveness of edge services [1]–[3]. Traditional resource planning methods may fall short in dealing with the dynamic and uncertain nature of edge environments. To address these challenges and achieve latency optimization, this paper presents a novel approach: “A Fuzzy Logic-Based Mechanism for Efficient Edge Resource Planning to Optimize Latency.”