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http://dx.doi.org/10.17661/jkiiect.2018.11.1.70

Design of GlusterFS Based Big Data Distributed Processing System in Smart Factory  

Lee, Hyeop-Geon (Department of Data Analysis, Seoul Gangseo Campus of Korea Polytech)
Kim, Young-Woon (Department of Data Analysis, Seoil University)
Kim, Ki-Young (Department of Computer, Soongsil University)
Choi, Jong-Seok (Department of Computer, Soongsil University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.11, no.1, 2018 , pp. 70-75 More about this Journal
Abstract
Smart Factory is an intelligent factory that can enhance productivity, quality, customer satisfaction, etc. by applying information and communications technology to the entire production process including design & development, manufacture, and distribution & logistics. The precise amount of data generated in a smart factory varies depending on the factory's size and state of facilities. Regardless, it would be difficult to apply traditional production management systems to a smart factory environment, as it generates vast amounts of data. For this reason, the need for a distributed big-data processing system has risen, which can process a large amount of data. Therefore, this article has designed a Gluster File System (GlusterFS)-based distributed big-data processing system that can be used in a smart factory environment. Compared to existing distributed processing systems, the proposed distributed big-data processing system reduces the system load and the risk of data loss through the distribution and management of network traffic.
Keywords
Big Data; Hadoop; GlusterFS; Smart Factory; Big Data Distributed Processing System;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
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