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http://dx.doi.org/10.12815/kits.2016.15.5.125

Implementation of High Speed Big Data Processing System using In Memory Data Grid in Semiconductor Process  

Park, Jong-Beom (Hanyang Women's Univ.)
Lee, Alex (NEXTORM co., Ltd.)
Kim, Tony (NEXTORM co., Ltd.)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.15, no.5, 2016 , pp. 125-133 More about this Journal
Abstract
Data processing capacity and speed are rapidly increasing due to the development of hardware and software in recent time. As a result, data usage is geometrically increasing and the amount of data which computers have to process has already exceeded five-thousand transaction per second. That is, the importance of Big Data is due to its 'real-time' and this makes it possible to analyze all the data in order to obtain accurate data at right time under any circumstances. Moreover, there are many researches about this as construction of smart factory with the application of Big Data is expected to have reduction in development, production, and quality management cost. In this paper, system using In-Memory Data Grid for high speed processing is implemented in semiconductor process which numerous data occur and improved performance is proven with experiments. Implemented system is expected to be possible to apply on not only the semiconductor but also any fields using Big Data and further researches will be made for possible application on other fields.
Keywords
Big Data; In Memory Computing; In Memory Data Grid(IMDG); Data Base Management System(DBMS); Garbage Collection;
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