Supporting Edge Intelligence in Service-Oriented Smart IoT Applications

被引:8
|
作者
Huang, Zhenqiu [1 ]
Lin, Kwei-Jay [1 ,2 ]
Shih, Chi-Sheng [2 ]
机构
[1] Univ Calif Irvine, Dept EECS, Irvine, CA 92717 USA
[2] Natl Taiwan Univ, NTU IoX Res Ctr, Taipei, Taiwan
关键词
D O I
10.1109/CIT.2016.40
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents the edge intelligence support for smart IoT using the service-oriented architecture. In IoT, there are many sensors deployed for different purposes. Sensors of different modalities must be integrated and their characteristics analyzed to enhance the system intelligence. In this paper, we present the edge computing framework in the WuKong-based IoT architecture. WuKong is an IoT middleware that supports dynamic compositions and deployments of user-defined IoT applications. The edge framework pushes the streaming processing capability from cloud to edge devices, in order to better support timely and reliable streaming analytics to enhance the performance of smart IoT applications. We have designed annotation based programming primitives for developers to add their own online learning capabilities on edge servers. Using an extendable pipeline design, intelligent components on edge may be used to build smart services in IoT applications.
引用
收藏
页码:492 / 499
页数:8
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