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

Ickin, S, Fiedler, M & Wac, K 2013, 'Energy-based anomaly detection in quality of experience', Proceedings of the Wireless Personal Multimedia Communications Symposia. <http://www.scopus.com/inward/record.url?scp=84887476021&partnerID=8YFLogxK>

APA

Ickin, S., Fiedler, M., & Wac, K. (2013). Energy-based anomaly detection in quality of experience. Proceedings of the Wireless Personal Multimedia Communications Symposia, [6618587]. http://www.scopus.com/inward/record.url?scp=84887476021&partnerID=8YFLogxK

Vancouver

Ickin S, Fiedler M, Wac K. Energy-based anomaly detection in quality of experience. Proceedings of the Wireless Personal Multimedia Communications Symposia. 2013 Nov 18. 6618587.

Author

Ickin, Selim ; Fiedler, Markus ; Wac, Katarzyna. / Energy-based anomaly detection in quality of experience. In: Proceedings of the Wireless Personal Multimedia Communications Symposia. 2013.

Bibtex

@article{ef1c3748de2b428e9a26d8226b96362b,
title = "Energy-based anomaly detection in quality of experience",
abstract = "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.",
author = "Selim Ickin and Markus Fiedler and Katarzyna Wac",
year = "2013",
month = nov,
day = "18",
language = "English",
journal = "Proceedings of the Wireless Personal Multimedia Communications Symposia",
issn = "1347-6890",
publisher = "Causal Productions",

}

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