The proliferation of the Industrial Internet of Things (IIoT) has transformed manufacturing, energy, and logistics, generating vast amounts of data that demand efficient processing solutions. Edge and cloud computing have emerged as two main architectures that can support IIoT applications by addressing latency, bandwidth, and computational challenges. This study presents a comparative analysis of edge and cloud computing architectures in the context of industrial IoT, focusing on performance, scalability, security, and cost. By analyzing case studies from manufacturing, logistics, and energy sectors, we identify the strengths and limitations of each approach, providing recommendations for selecting optimal architectures based on application needs.
