2007 | OriginalPaper | Buchkapitel
Towards Estimating Quality of Experience with Passive Bottleneck Detection Metrics
verfasst von : Pál Varga, Gergely Kún, Gábor Sey
Erschienen in: Advances in Information Systems Development
Verlag: Springer US
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Quality of Experience (QoE) metrics describe the service usability from the endusers’ point of view. In a networking environment QoE metrics are very close to Quality of Service (QoS) metrics, except the fact that end-user experience is subjective in nature, moreover, it is also influenced by the access capabilities of end users and the used service path. Our ultimate aim is to find methods determining QoE by passive measurements on an aggregated network link. One step towards this is determining the correlation between network overload and QoE. There can be several scenarios where the experienced service quality becomes less than satisfactory.