Fuzzy based sequential learning for HDD health status prediction in data center

Data center is the essential part in maintaining data stores and IT systems in an enterprise. HDD (Hard Disk Drive) plays a crucial role in datacenter.The reliability of HDD is to be considered as an important factor.Prevention of Failure in HDD is significant for enabling security over data.In this paper, an Ensemble based sequential learning model was proposed to predict the failure of HDD at earliest.Sequential model learned the history of data and predicts the failure.It learned the pattern and predict the failures.In our approach, LSTM and GRU learning models are used for sequential learning. Ensemble learning was combined with these sequential model for predicting disk failure.The continous data from HDD was observed as SMART data and is used for constructing learning models to predict the results with an accuracy of  89.3% &nbsp