【摘要】 数据中心作为信息化社会的IT基础设施,存储管理大量关键数据,发挥着越来越重要的作用,因此如何实现数据中心机房的智能化管理越来越得到业内广泛重视。提出一种基于神经网络的数据中心故障预测方法,根据已有的机房设备日志数据,提取出关键的设备性能指标作为训练特征,输入神经网络训练模型,得到的模型可以根据所提供的设备数据预测出当前设备运行状态。更多还原

【Abstract】 As the IT infrastructure of the information society,the data center plays an increasingly important role in the storage and management of a large number of key data. Therefore,more and more attention has been paid to realize the intelligent management of the data center in the industry. This paper proposes a method based on neural network to predict the data center error.According to the existing log data of the data center, the key equipment performance indicators are extracted as training characteristics,which will be fed into the neural network for training. The obtained model can predict the current equipment running state according to the provided device data.更多还原