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Cluster Computing

Erschienen in:

26.03.2018

Construction and application of barrel finishing underlying database platform

verfasst von: Wei Gao, Shengqiang Yang, Jianyan Tian, Amit Banerjee, Fei Yan

Erschienen in: Cluster Computing | Sonderheft 6/2019

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Abstract

The present methods of data preservation and representation for barrel finishing processes which include paper and electronic documents have several disadvantages such as restrictions in size and complexity, and limitations on query and updation speed. Aiming at these disadvantages, a new database platform for barrel finishing data has been constructed by using database technology and case-based reasoning. The design procedure of the database platform is expounded in detail, covering analysis of database platform requirements, establishment for conceptual model of database data structure, designs for logical model of database data structure, determination for physical model of database data structure, choice for network structure of database platform, data management and storage method. The application results demonstrate that the database platform can ensure the safe and convenient storage as well as the sharing of experimental data of the barrel finishing process. It can also provide guidance and technical information for scientific researchers, experts, technicians, and production site operators to choose the processing technology and the processing parameters reasonably.

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Titel: Construction and application of barrel finishing underlying database platform
verfasst von: Wei Gao
Shengqiang Yang
Jianyan Tian
Amit Banerjee
Fei Yan
Publikationsdatum: 26.03.2018
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe Sonderheft 6/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-2600-6

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