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篇名 |
Research On Fault Prediction Model Based On 5G Data Center
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並列篇名 | Research On Fault Prediction Model Based On 5G Data Center |
作者 | Min Tan、Guohui Li、Han Yu、Ming Wei、Ji-wei Hu |
英文摘要 | 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%. |
起訖頁 | 053-059 |
關鍵詞 | Data venter、Fault prediction model、Machine learning |
刊名 | 網際網路技術學刊 |
期數 | 202101 (22:1期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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