@inproceedings{d86d0d33602248aeb0a43ef74afd099c,
title = "Demo Abstract: Real-time Heterogeneous Edge Computing System for Social Sensing Applications",
abstract = "In this demo, we present a Social Sensing Edge Computing (SSEC) system that supports real-time task allocation on non-cooperative and heterogeneous edge devices. We evaluate the system on two real-time social sensing applications and demonstrate the energy savings as well as the Quality of Service (QoS) of the SSEC system. The demonstrated framework complements the traditional centralized social sensing solutions by providing a more scalable and responsive computation paradigm.",
keywords = "Edge Computing, Game Theory, Resource Management, Social Sensing",
author = "Zhang, {Daniel Yue} and Nathan Vance and Dong Wang",
note = "Funding Information: ACKNOWLEDGMENTS This research is supported in part by the National Science Foundation under Grant No. CBET-1637251, CNS-1566465 and IIS-1447795 and Army Research Office under Grant W911NF-17-1-0409. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Office or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on. Publisher Copyright: {\textcopyright} 2018 IEEE.; 24th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2018 ; Conference date: 11-04-2018 Through 13-04-2018",
year = "2018",
month = aug,
day = "8",
doi = "10.1109/RTAS.2018.00019",
language = "English (US)",
series = "Proceedings of the IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "101--102",
editor = "Rodolfo Pellizzoni",
booktitle = "Proceedings - 24th IEEE Real-Time and Embedded Technology and Applications Symposium, RTAS 2018",
address = "United States",
}