Energy-based anomaly detection in quality of experience
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Energy-based anomaly detection in quality of experience. / Ickin, Selim; Fiedler, Markus; Wac, Katarzyna.
In: Proceedings of the Wireless Personal Multimedia Communications Symposia, 18.11.2013.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Energy-based anomaly detection in quality of experience
AU - Ickin, Selim
AU - Fiedler, Markus
AU - Wac, Katarzyna
PY - 2013/11/18
Y1 - 2013/11/18
N2 - 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 (Df) metric, i.e., the time gap between two consecutive displayed pictures at the user interface; the inter-packet time (Dp) and the initial signaling duration (Ds) at the network-level; and the instantaneous power consumption (Pn) at the power supply of the smartphone. We conduct experiments on the VLC media player, while streaming video via local-storage; via 3rd Generation (3G) using Real Time Streaming Protocol (RTSP) protocol; and via 3G using Hypertext Transfer Protocol (HTTP) protocol. We show that the anomalies detected at the instantaneous power consumption reveals the anomalies at the user interface and the network-level.
AB - 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 (Df) metric, i.e., the time gap between two consecutive displayed pictures at the user interface; the inter-packet time (Dp) and the initial signaling duration (Ds) at the network-level; and the instantaneous power consumption (Pn) at the power supply of the smartphone. We conduct experiments on the VLC media player, while streaming video via local-storage; via 3rd Generation (3G) using Real Time Streaming Protocol (RTSP) protocol; and via 3G using Hypertext Transfer Protocol (HTTP) protocol. We show that the anomalies detected at the instantaneous power consumption reveals the anomalies at the user interface and the network-level.
M3 - Journal article
AN - SCOPUS:84887476021
JO - Proceedings of the Wireless Personal Multimedia Communications Symposia
JF - Proceedings of the Wireless Personal Multimedia Communications Symposia
SN - 1347-6890
M1 - 6618587
ER -
ID: 130767353