Paper
2 May 2023 Establish automatic operation and maintenance system of power monitoring system data center based on cloud platform
Fuxiang Zhang, Yunpeng Li, Zheng Li, Mingyu Yang, Jiashuo Li
Author Affiliations +
Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 1264219 (2023) https://doi.org/10.1117/12.2674773
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China
Abstract
With the gradual maturity of cloud computing technology, the power data center begins to migrate to the cloud platform, so there are many new operation and maintenance requirements, such as scalability, security, configurability, etc. In order to meet these requirements, this paper proposes an automatic operation and maintenance system of power data center based on cloud platform. This system uses cloud computing platform and virtualization technology to model the hardware resources, data resources, configuration resources, security resources, etc. in the power data center, digitize the resources, and realize the automatic management of resources through the system's data collection, analysis, and transmission, so as to achieve the goal of automatic and efficient operation and maintenance, It can better meet the new demand in the operation and maintenance of power data center.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fuxiang Zhang, Yunpeng Li, Zheng Li, Mingyu Yang, and Jiashuo Li "Establish automatic operation and maintenance system of power monitoring system data center based on cloud platform", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 1264219 (2 May 2023); https://doi.org/10.1117/12.2674773
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KEYWORDS
Data centers

Clouds

Computing systems

Windows

Cloud computing

Environmental monitoring

Feature extraction

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