Handling Streaming Data by Using Open Source Framework Storm in IoT Environment


KIPS Transactions on Software and Data Engineering, Vol. 5, No. 7, pp. 313-318, Jul. 2016
10.3745/KTSDE.2016.5.7.313,   PDF Download:
Keywords: IoT, Sensory Data, Open Source Framework, Storm, Pipe-and-Filter
Abstract

To utilize sensory data, it is necessary to design architecture for processing and handling data generated from sensors in an IoT environment. Especially in the IoT environment, a thing connects to the Internet and efficiently enables to communicate a device with diverse sensors. But Hadoop and Twister based on MapReduce are good at handling data in a batch processing. It has a limitation for processing stream data from a sensor in a motion. Traditional streaming data processing has been mainly applied a MoM based message queuing system. It has maintainability and scalability problems because a programmer should consider details related with complex messaging flow. In this paper architecture is designed to handle sensory data aggregated The designed software architecture is used to operate an application on the open source framework Storm. The application is conceptually used to transform streaming data which aggregated via sensor gateway by pipe-filter style.


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Cite this article
[IEEE Style]
Y. Kang, "Handling Streaming Data by Using Open Source Framework Storm in IoT Environment," KIPS Transactions on Software and Data Engineering, vol. 5, no. 7, pp. 313-318, 2016. DOI: 10.3745/KTSDE.2016.5.7.313.

[ACM Style]
Yunhee Kang. 2016. Handling Streaming Data by Using Open Source Framework Storm in IoT Environment. KIPS Transactions on Software and Data Engineering, 5, 7, (2016), 313-318. DOI: 10.3745/KTSDE.2016.5.7.313.