Performance Diagnosis in Cloud Microservices using Deep Learning
We observe that applying autoencoder on the service relevant metrics can signiﬁcantly improve the accuracy of culprit service localization by ranking the faulty service within the top two. Table 2 shows the overall performance of the above two methods for all anomaly cases. It shows that complementing culprit service localization with autoencoder can achieve a precision of 92%, which outperforms 61.4% than the results of CSL only.
Created : February 13, 2023