Semantic Stream Processing in Dynamic Environments Using Dynamic Stream Selection

被引：0
作者：
Jacoby, Michael [1 ]
Riedel, Till [2 ]
机构：
[1] Fraunhofer IOSB, Karlsruhe, Germany
[2] KIT, TECO, Karlsruhe, Germany
来源：
MACHINE LEARNING FOR CYBER PHYSICAL SYSTEMS | 2017年 / 3卷
关键词：
stream processing; semantic streaming; dynamic stream selection; ECQELS;
D O I：
10.1007/978-3-662-53806-7_2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Cyber-physical systems (CPS) require a new level of dynamics in information processing. Databases and query approaches need to be extended towards dynamic stream aggregation and analysis systems. In this paper, we designed ECQELS, a semantic stream processing engine, to support CPS applications by adding essential features like dynamic sensor selection. We present a feature complete first implementation and show competitive performance results.
引用
收藏
页码：9 / 15
页数：7
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