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http://dx.doi.org/10.9717/kmms.2019.22.2.194

Design and Implementation of Hadoop-based Big-data processing Platform for IoT Environment  

Heo, Seok-Yeol (Dept. of IT Engineering & Application, Pusan National University)
Lee, Ho-Young (POMIT CO., Ltd.)
Lee, Wan-Jik (Dept. of IT Engineering & Application, Pusan National University)
Publication Information
Journal of Korea Multimedia Society / v.22, no.2, 2019 , pp. 194-202 More about this Journal
Abstract
In the information society represented by the Fourth Industrial Revolution, various types of data and information that are difficult to see are produced, processed, and processed and circulated to enhance the value of existing goods. The IoT(Internet of Things) paradigm will change the appearance of individual life, industry, disaster, safety and public service fields. In order to implement the IoT paradigm, several elements of technology are required. It is necessary that these various elements are efficiently connected to constitute one system as a whole. It is also necessary to collect, provide, transmit, store and analyze IoT data for implementation of IoT platform. We designed and implemented a big data processing IoT platform for IoT service implementation. Proposed platform system is consist of IoT sensing/control device, IoT message protocol, unstructured data server and big data analysis components. For platform testing, fixed IoT devices were implemented as solar power generation modules and mobile IoT devices as modules for table tennis stroke data measurement. The transmission part uses the HTTP and the CoAP, which are based on the Internet. The data server is composed of Hadoop and the big data is analyzed using R. Through the emprical test using fixed and mobile IoT devices we confirmed that proposed IoT platform system normally process and operate big data.
Keywords
IoT; Platform; Hadoop; Big-Data; IoT Gateway; Design and Implementation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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