METHODOLOGICAL APPROACHES TO EVALUATING QUALITY OF SERVICE (QOS) AND QUALITY OF EXPERIENCE (QOE) IN INTEGRATED CLOUD-FOG-EDGE COMPUTING ARCHITECTURES

Cherepenin Valentin Anatolievich, Chebanov Ilya Alexandrovich, Vorobyov Sergey Petrovich

The paper explores modern approaches to assessing Quality of Experience (QoE) and Quality of Service (QoS) in distributed Cloud-Fog-Edge architectures. Special focus is given to the role of machine learning algorithms in predicting user perception from objective metrics. The study highlights the benefits of hybrid evaluation models combining technical and behavioral factors. The necessity of integrating intelligent quality control mechanisms under high-load and variable network conditions is substantiated.

Keywords:Quality of Service, Quality of Experience, distributed architecture, Cloud-Fog-Edge, intelligent technologies, digital platforms.