Abstract
In this paper, we report about platform and architecture that real-time analysis of big data are possible, and structured IT infrastructure that they are optimally combined. We developed a distributed architecture which the data conversion and the abnormality determination are multi-blocked. Furthermore, by selecting a distributed storage database (DB), we succeeded in constructing IT infrastructure capable of high-speed processing at a large number of manufacturing sites. In the new IT infrastructure, we achieved resource leveling of the application server and improvement of data processing time. It is expected that data file stagnation and delay of DB registration can be resolved.
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