Demo Abstract: Real-time Heterogeneous Edge Computing System for Social Sensing Applications

被引：1
|
作者：
Zhang, Daniel [1 ]
Vance, Nathan [1 ]
Wang, Dong [1 ]
机构：
[1] Univ Notre Dame, Dept Comp Sci & Engn, Notre Dame, IN 46556 USA
来源：
24TH IEEE REAL-TIME AND EMBEDDED TECHNOLOGY AND APPLICATIONS SYMPOSIUM (RTAS 2018) | 2018年
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/RTAS.2018.00019
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：101 / 102
页数：2
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