Research On Fault Prediction Model Based On 5G Data Center

Min Tan,
Guo-hui Li,
Han Yu,
Ming Wei,
Ji-wei Hu,

Abstract


Intelligent operation and maintenance is leading the innovation in the communications industry. With the opening of the 5G commercial era, the existing management model cannot meet the needs of network operation and maintenance for comprehensive cloud and intelligent environment. This article aims at discovering some important problems of the intelligent deployment in big data centers, building a fault prediction model based on key performance indicators, conducting a deep research in conjunction with scenarios of big data centers and providing a complete and effective solution. The key technology studied in this paper will cover 80% of the total number of data center failures, and the prediction success rate 3 days in advance will reach 95%.


Citation Format:
Min Tan, Guo-hui Li, Han Yu, Ming Wei, Ji-wei Hu, "Research On Fault Prediction Model Based On 5G Data Center," Journal of Internet Technology, vol. 22, no. 1 , pp. 53-59, Jan. 2021.

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