Analysis of the Application of Storage Resource Pool Technology of Inner Mongolia Power based on the Background of Big Data

Zhang Yu, Ao Wei
Vol.2, No.1, pp.34-38, 2024 DOI: 10.62051/ijepes.v2n1.04 April 3, 2024
Download PDF
Abstract

With the continuous deepening of the Inner Mongolia Power Company's level of informatization and the continuous expansion of the scale of business and application system construction, the company will also enter the era of big data, and the amount of data will show an explosive growth trend. In order to solve the problems of massive data storage and data value mining faced by the enterprise during its development process, research on the application of storage resource pool technology has been conducted. Ultimately, the unified planning, allocation, and management of storage resources have been achieved, greatly improving the utilization efficiency of storage resources.

Keywords: Pooling of Storage Resources, Structured Data, Unstructured Data, Cloud Computing, Distributed Storage Systems, Disaster Recovery Center
APA Citation: Zhang Yu, Ao Wei (2024). Analysis of the Application of Storage Resource Pool Technology of Inner Mongolia Power based on the Background of Big Data. International Journal of Electric Power and Energy Studies, 2(1), 34-38. https://doi.org/10.62051/ijepes.v2n1.04

References

  1. Wang Jiajun, Lu Zhihui, Wu Jie. Cloud computing technology development analysis and its application [J].Computer engineering and design, 2015 (20). 4404-4409.
  2. Zhang Xuejian. Research on performance optimization based on the status quo of storage resource pool in Yunnan power grid [J]. Information Communication, 2017(6):3-6.
  3. Zhang Yu. Construction and Application Analysis of Disaster Recovery Center for Inner Mongolia Electric Power Information System[J]. Inner Mongolia Electric Power Technology, 2012(6):1-5.
  4. He Ming, Zheng Xiang, Lai Haiguang. Analysis of cloud computing technology development and its application[J]. Telecommunication Science, 2015(5):42-46.
  5. Xiao Kun. Massive Unstructured Information Processing in Big Data Environment [J]. Information Communication, 2016(8):167-169.