2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC 2017)

47 / 2017-07-04 21:22:39

A Data Storage and Mining Algorithm based on Distributed File System and ThinkDB System

ata storage;data mining;distributed file system; ThinkDB system;schematic diagram

In order to improve control property and storage property of embedded metallurgy system, this paper raises a kind of data structure optimum storage algorithm based on embedded metallurgy system of optimum basic function adaptive matching in metallurgy control system data storage and summarizes the security challenges faced by data storage in cloud computing environment.The advantages and the protection measures should be taken into improve the data security architecture in the cloud computing environment.In addition,data file preprocessing and verification process of data files and dynamic operation details of data are described in detail.In view of the problems of data file storage access control in cloud computing environment, this paper proposes an access control scheme based on data storage algorithm by cloud computing.It’s proved by stimulation outcome that it efficiently reduces data storage expense and enlarges data storage space by using method raised in this paper, which further improves control ability and storage ability of data interaction in embedded metallurgy system.