磁盘故障预测思路和有关论文（更新）
磁盘故障预测思路和论文。把目前相关的磁盘故障预测论文翻了一遍，总结一下如下预测思路。
磁盘故障预测思路
一些磁盘故障预测的 papers，包括场景：
- disk anomaly detection
- disk failure prediction
- disk rul prediction
磁盘故障预测方法可以如下分类：
从场景角度：
- disk anomaly detection (磁盘异常检测)
- disk failure prediction (磁盘故障预测)
- disk rul prediciton (磁盘剩余寿命预测)
从技术角度看：
- 统计规则、人工经验总结规则、SMART
- 机器学习、人工特征工程、多实例学习
- 深度学习（自动特征工程） 、人工特征工程、采样策略
从数据标注的角度：
- 无标注（unsupervised anomaly detection）
- 二分类（健康、故障）
- 多分类（健康等级）
- 序列标注（per time step per state，考虑到故障等级之间状态转移的约束条件，如故障的磁盘不能转化为健康状态）
- 回归（剩余寿命）
从数据使用角度：
- I/O相关数据，如 I/O Latency
- SMART
- I/O Latency + SMART
链接
What SMART Stats Tell Us About Hard Drives
磁盘故障预测 papers
[1] AIOps_Real-World_Challenges_and_Research_Innovations.pdf
[2] A_Two-Step_Parametric_Method_for_Failure_Prediction_in_Hard_Disk_Drives.pdf
[3] A_combined_Bayesian_network_method_for_predicting_drive_failure_times_from_SMART_attributes.pdf
[4] An_approach_to_failure_prediction_in_a_cloud_based_environment.pdf
[5] Anomaly_detection_using_SMART_indicators_for_hard_disk_drive_failure_prediction.pdf
[6] BaNHFaP_A_Bayesian_Network_based_Failure_Prediction_Approach_for_Hard_Disk_Drives.pdf.pdf
[7] Bayesian_Network_based_Failure_Prediction_for_Hard_Drives.pdf
[8] Bayesian_approaches_to_failure_prediction_for_disk_drives.pdf
[9] Big_Data_Preventive_Maintenance_for_Hard_Disk_Failure_Detection.pdf
[10] Characterizing_Disk_Failures_with_Quantified_Disk_Degradation_Signatures_An_Early_Experience.pdf
[11] DFPE_Explaining_Predictive_Models_for_Disk_Failure_Prediction.pdf
[12] Disk_Failure_Prediction_in_Data_Centers_via_Online_Learning.pdf
[13] Failure_Trends_in_a_Large_Disk_Drive_Population.pdf
[14] Fast_Predictive_Repair_in_Erasure-Coded_Storage.pdf
[15] Finding_soon-to-fail_disks_in_a_haystack.pdf
[16] Hard_Drive_Failure_Prediction_Using_Classification_and_Regression_Trees.pdf
[17] Hard_Drive_Failure_Prediction_for_Large_Scale_Storage_System.pdf
[18] Hidden_semi-Markov_Models_for_Predictive_Maintenance_of_Rotating_Elements.pdf
[19] Improving_Storage_System_Reliability_with_Proactive_Error_Prediction.pdf
[20] LSTM-based_Encoder-Decoder_for_Multi-sensor_Anomaly_Detection.pdf
[21] Large_Scale_Predictive_Analytics_for_Hard_Disk_Remaining_Useful_Life_Estimation.pdf
[22] Machine_Learning_Methods_for_Predicting_Failures_in_Hard_Drives_A_Multiple-Instance_Application.pdf
[23] Machine_Learning_and_Failure_Prediction_in_Hard_Disk_Drives.pdf
[25] Online_Anomaly_Detection_for_Hard_Disk_Drives_Based_on_Mahalanobis_Distance.pdf
[26] Online_Failure_Prediction_in_Cloud_Datacenters.pdf
[27] Overview_of_Remaining_Useful_Life_Prediction_Techniques_in_Through-Life_Engineering_Service.pdf
[28] Predicting_Disk_Replacement_towards_Reliable_Data.pdf
[29] Predicting_disk_failures_with_HMM-_and_HSMM-based_approaches.pdf
[30] Proactive_Drive_Failure_Prediction_for_Large_Scale_Storage_Systems.pdf
[31] Significance_of_Disk_Failure_Prediction_in_Datacenters.pdf
[33] Understanding_Latency_and_Response_Time_Behavior.pdf
[34] redictive_Models_of_Hard_Drive_Failures_based_on_Operational_Data.pdf
[35] 故障预测技术研究综述.pdf
Github Repo，论文下载地址：disk-prediction-papers。
