Energy-based Anomaly Detection in Quality of Experience
2013 (English)Conference paper (Refereed)
Subjective performance of smartphone-based high bandwidth- and energy-demanding applications and services such as video streaming, are highly influenced by the temporal impairments perceived by the user at the user interface; and the application's energy consumption patterns. Therefore, we study the influence of the anomalies detected by objective measurements from the user interface and the network-level, on the power consumption during video streaming on the smartphone. In this paper, we study the inter-frame time metric, i.e., the time gap between two consecutive displayed pictures at the user interface; the inter-packet time and the initial signaling duration at the network-level; and the instantaneous power consumption at the power supply of the smartphone. We conduct experiments on the VLC media player, while streaming video via local-storage; via 3G using RTSP protocol; and via 3G using HTTP protocol. We show that the anomalies detected at the instantaneous power consumption reveals the anomalies at the user interface and the network-level.
Place, publisher, year, edition, pages
New Jersey: IEEE , 2013.
QoE, Energy, QoS, Video streaming
Telecommunications Computer Science
IdentifiersURN: urn:nbn:se:bth-6669ISI: 000332186700085Local ID: oai:bth.se:forskinfo7A8D8191C65A3C08C1257BC7002D54FBOAI: oai:DiVA.org:bth-6669DiVA: diva2:834193
Green Cognitive Radio Access Networks, International Symposium on Wireless Personal Multimedia Communications