• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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Real-Time IoT Big-data Processing for Stream Reasoning


Yun, Chang Ho;Park, Jong Won;Jung, Hae Sun;Lee, Yong Woo;, Journal of Internet Computing and Services, Vol. 18, No. 3, pp. 1-10, Jun. 2017
10.7472/jksii.2017.18.3.01, Full Text:  HTML
Keywords: Smart-city, Middleware, Stream reasoning, Real-time processing, Cloud computing

Abstract

Smart Cities intelligently manage numerous infrastructures, including Smart-City IoT devices, and provide a variety of smart-city applications to citizen. In order to provide various information needed for smart-city applications, Smart Cities require a function to intelligently process large-scale streamed big data that are constantly generated from a large number of IoT devices. To provide smart services in Smart-City, the Smart-City Consortium uses stream reasoning. Our stream reasoning requires real-time processing of big data. However, there are limitations associated with real-time processing of large-scale streamed big data in Smart Cities. In this paper, we introduce one of our researches on cloud computing based real-time distributed-parallel-processing to be used in stream-reasoning of IoT big data in Smart Cities. The Smart-City Consortium introduced its previously developed smart-city middleware. In the research for this paper, we made cloud computing based real-time distributed-parallel-processing available in the cloud computing platform of the smart-city middleware developed in the previous research, so that we can perform real-time distributed-parallel-processing with them. This paper introduces a real-time distributed-parallel-processing method and system for stream reasoning with IoT big data transmitted from various sensors of Smart Cities and evaluate the performance of real-time distributed-parallel-processing of the system where the method is implemented.


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Cite this article
[APA Style]
, Ho;Park, C., Won;Jung, J., Sun;Lee, H., & Woo;, Y. (2017). Real-Time IoT Big-data Processing for Stream Reasoning. Journal of Internet Computing and Services, 18(3), 1-10. DOI: 10.7472/jksii.2017.18.3.01.

[IEEE Style]
Yun, C. Ho;Park, J. Won;Jung, H. Sun;Lee, Y. Woo;, "Real-Time IoT Big-data Processing for Stream Reasoning," Journal of Internet Computing and Services, vol. 18, no. 3, pp. 1-10, 2017. DOI: 10.7472/jksii.2017.18.3.01.

[ACM Style]
Yun, Chang Ho;Park, Jong Won;Jung, Hae Sun;Lee, and Yong Woo;. 2017. Real-Time IoT Big-data Processing for Stream Reasoning. Journal of Internet Computing and Services, 18, 3, (2017), 1-10. DOI: 10.7472/jksii.2017.18.3.01.