I. Introduction
Edge Computing represents a transformative approach to handling data in smart manufacturing environments by decentralizing computational resources closer to where data is generated and consumed within industrial IoT (IIoT) systems. This architectural shift addresses fundamental challenges associated with traditional cloud-centric models, particularly latency, bandwidth constraints, and data security concerns (Shi et al., 2016; Satyanarayanan, 2017) [1, 2]. By processing data at or near the source, Edge Computing significantly reduces the time it takes for data to travel to centralized cloud servers and back, enabling real-time or near-real-time analytics and decision-making (Mao et al., 2017) [3]. This capability is pivotal in industries where operational efficiency and reliability are paramount, such as manufacturing, where even minor delays or disruptions can lead to substantial financial losses (Jiang et al., 2018) [4].