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Development of tools for improving the data storage systems reliability as a part of digital transformation strategy
Author(s) -
Marina Bolsunovskaya,
Svetlana Shirokova,
Aleksandra V. Loginova,
Mikhail B. Uspenskiy
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/940/1/012010
Subject(s) - reliability (semiconductor) , computer science , computer data storage , reliability engineering , transformation (genetics) , software , information repository , systems engineering , data transformation , database , engineering , data warehouse , operating system , power (physics) , biochemistry , physics , chemistry , quantum mechanics , gene
Information storage technologies play a vital role in the processes of enterprises digitalization. To ensure the necessary reliability of data storage, special technologies are being developed. The paper examines the market for such solutions and introduces tools to improve the reliability of data storage systems (DSS) as a part of the digital transformation strategy of the enterprise. The problem of developing and application of data storage systems and tools for managing such systems to predict failures and provide fault tolerance specifications are discussed. The results of the current data storage market state analysis are shown. Based on market analysis, the need for developing a software package for predicting data storage system failures is substantiated, and the project the purpose of which is to develop a hardware and software complex to predict failures in the storage system is presented. The functionality of the complex has been formed and the project of complex creation is underway.

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