A TEFSM-based framework for QoE evaluation of OTT services
| Autor: | Camila Fuenzalida, Nina Yevtushenko, Natalia Kushik, Diego Rivera, Ana R. Cavalli |
|---|---|
| Přispěvatelé: | Томский государственный университет Радиофизический факультет Кафедра информационных технологий в исследовании дискретных структур |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
конечные автоматы
Computer science качество сервиса качество бизнеса (qobiz) lcsh:QA75.5-76.95 расширенный конечный автомат с таймаутами качество бизнеса формальная модель General Earth and Planetary Sciences lcsh:Electronic computers. Computer science качество сервиса (qos) качество удовлетворенности пользователя (qoe) отт сервис формальные модели General Environmental Science |
| Zdroj: | Труды Института системного программирования РАН. 2014. Т. 26, вып. 6. С. 17-30 Труды Института системного программирования РАН, Vol 26, Iss 6, Pp 17-30 (2018) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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