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Please predict whether this patent is acceptable.PATENT ABSTRACT: In a datacenter setting, root causes of anomalies corresponding to components in the datacenter are predicted. Initially, a convolutional neural network (CNN) is utilized to consider the evolution sequence of the datacenter infrastructure. Given a set of training data (sequences of datacenter states that are labeled with root causes of the anomalies present in the sequences), the CNN learns which sequences of datacenter states correspond to the labels of root causes. Accordingly, given a set of input or test data (sequences of datacenter states that are not labeled with root causes of the anomalies present in the sequences), the CNN is able to predict a root cause for the anomaly even in a previously unseen or different datacenter infrastructure.