| 基于GRU循环神经网络的云数据中心应用故障预测方法 |
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| 引用本文： | 胡小宁.基于GRU循环神经网络的云数据中心应用故障预测方法[J].铁路计算机应用,2022,31(2):7-11. |
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| 作者姓名： | 胡小宁 |
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| 作者单位： | 中国铁路信息科技集团有限公司，北京 100844 |
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| 摘 要： | 云数据中心的分布式应用故障具有复杂性、随机性等特点,导致应用的运行与维护(简称:运维)管理任务难度大、效率低.为此,提出一种云数据中心应用故障预测方法,构建基于门控循环单元(GRU,Gated Recurrent Unit)循环神经网络(RNN,Recurrent Neural Network)的云数据中心应用故障预测...
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| 关 键 词： | 云数据中心 循环神经网络(RNN) 特征工程 门控循环单元(GRU) 故障预测 单层感知器(SLP) |
| 收稿时间： | 2021-07-07 |
Application failure prediction method of cloud data center based on GRU Recurrent Neural Network |
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| Affiliation: | China Railway Information Technology Group Co. Ltd., Beijing 100844, China |
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| Abstract: | Distributed application failures in cloud data centers have the characteristics of complexity, randomness, which make applications operation and maintenance tasks difficult and inefficient. Therefore, this paper proposed an application failure prediction method for cloud data center, built an application fault prediction model of a cloud data center based on GRU (Gated Recurrent Unit) Recurrent Neural Network (RNN), analyzed and processed the application monitoring data of the cloud data center and predicted the application failures that will occur. The test results showed that the prediction accuracy of this method meets the relevant requirements of failure early detection and treatment in application operation and maintenance management, and has certain practical value in reducing the difficulty of application operation and maintenance management and improving operation and maintenance efficiency. |
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