Research of Mass Redundant Data Deleting Algorithm for Intelligent Manufacturing Process

Abstract:

Information management systems become more common and more important in all walks of life. Many serious problems such as multi-source information heterogeneity, mass redundant data, and data security occur in the systems as the explosive increment of data. A novel redundant data deleting algorithm based on the cloud storage platform was proposed in this paper to deal with the problem of mess data storing. Storage space division algorithm and different users were divided in an appropriate way to improve the efficiency of reading and writing. A typical information management system was used to verify the feasibility and effectiveness of the algorithms proposed in this paper.

• Periodical: Key Engineering Materials (Volume 693)
• Pages: 1849-1853
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.693.1849
• Online since: May 2016
• Authors: Long Long Song*, Pan Zhang, Wang Tai Yong, Lei Xu, Xiao Wen Song
• Keywords: Data Explosion, Data Security, Information Management System, Redundant Data Deleting, Role Division, Space Division

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