A TEFSM-based Framework for QoE Evaluation of OTT Services

• Published in: Труды Института системного программирования РАН
• Main Authors: D. Rivera, N. Kushik, C. Fuenzalida, A. Cavalli, N. Yevtushenko
• Format: Article
• Language: English
• Published: Russian Academy of Sciences, Ivannikov Institute for System Programming 2018-10-01
• Subjects: качество сервиса (qos); качество удовлетворенности пользователя (qoe); качество бизнеса (qobiz); отт сервис; формальная модель; расширенный конечный автомат с таймаутами
• Online Access: https://ispranproceedings.elpub.ru/jour/article/view/858

Most of the work related to QoE maps objective variables (QoS-related) into a single one that predicts the quality the user perceives. In this paper we present a new approach to model multimedia OTT services, integrating not only the functional aspects of the service but also non-functional variables, which are classified into objective, subjective and business-related. Non-functional metrics might affect the Quality of Service (QoS), Quality of Experience (QoE) and Quality of Business (QoBiz) correspondingly. We also discuss how all these variables can be taken into account to predict the QoE of the service being studied. The functional requirements are modeled into a Timed Extended Finite State Machine (TEFSM), which is augmented with context variables (and their updating functions) representing non-functional requirements related to QoS, QoE and QoBiz. We use these parameters to evaluate the QoE using a trace model derived from the TEFSM previously built.