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Conference Paper An approach to enable real-time stream data processing with EPCglobal based Internet of Things
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Authors
Tuan Dinh Le, Seonghoon Kim, Janggwan Im, Minh Hoang Nguyen, Sehyeon Heo, Sungpil Woo, Daeyoung Kim
Issue Date
2014-10
Citation
International Conference on Internet of Things (IoT) 2014, pp.1-2
Language
English
Type
Conference Paper
Abstract
RFID has been considered as a prerequisite for the Internet of Things (IoT). As the number of smart objects with RFID tags attached increases, a tremendous amount of data will be produced by them. While batch data processing platform (e.g., Hadoop MapReduce) could be applied to analyze a large volume of data, it is only suitable for non latency-sensitive applications. In this poster, we focus on performing real-time analyzing of EPCglobal network data. We present an integration of a modern real-time data processing engine (Apache Storm) with our IoT EPCglobal network named Oliot.
KSP Keywords
EPCglobal Network, Hadoop Mapreduce, Internet of thing(IoT), Latency-sensitive, Network Data, Processing engine(PE), Processing platform, RFID Tag, Real-time data processing, Real-time stream, Smart Objects