Design and Analysis of OpenStack Cloud Smart Factory Platform for Manufacturing Big Data Applications

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Abstract

In building an open source cloud platform, you can configure the OpenStack cloud architecture to implement services with capabilities for smart factories. In addition, we study the limitations, speed, and security analysis of existing cloud. In addition, we confirm that the data that accumulates when smart factory data is generated becomes unstructured data, and solves the problem with the prototype and various types of open source cloud to overcome this problem. The Smart Factory is composed of users in various environments in connection with all tasks such as distribution, production, and research, as well as the manufacturing environment. We design a smart factory cloud that integrates these environments. When storing files of various types, it is possible to store secure data by encrypting and decrypting various types of files and the like. In addition, for the convenience of cloud users, all data can be stored, edited and modified on any local PC connected to the cloud. Finally, open source-based cloud computing optimized for big data environments for smart factories can be configured.

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APA

Ahn, D. J., & Jeong, J. (2019). Design and Analysis of OpenStack Cloud Smart Factory Platform for Manufacturing Big Data Applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11620 LNCS, pp. 53–61). Springer Verlag. https://doi.org/10.1007/978-3-030-24296-1_6

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