FROM VEHICLE OPERATIONS TO ASSET-ORIENTED MOBILITY MANAGEMENT: SEPARATING COGNITIVE REFRAMING FROM ANALYTICAL METHOD CHANGE
Abstract
This article examines the theoretical foundations, architectural features, and integration possibilities of Edge Computing and Cloud Computing technologies. While Cloud Computing is focused on providing computing resources through a centralized infrastructure, Edge Computing is based on processing data in a computing environment located close to the source of the data. The study presents a comparative analysis of these technologies according to such indicators as the location of data processing, network latency, bandwidth, scalability, resource utilization, and suitability for IoT systems. In addition, a multilayer architecture based on Edge–Cloud integration is proposed, in which the Edge layer performs initial processing in real time, while the Cloud layer performs centralized storage, complex computations, and analytical tasks. The results of the study show that the combined use of Edge and Cloud Computing technologies can improve architectural efficiency in processing large volumes of distributed data.