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Advances, Systems and Applications

Table 1 A classification of classic unsupervised performance anomaly detection methods

From: Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework

Type

Method

Description

Density-based

LOF [6]

Local Outlier Factor

COF [14]

Connectivity-based Outlier Factor

LOCI [15]

Local Correlation Integral

Distance-Based

KNN [16]

K-Nearest Neighbors

LDOF [17]

Local Distance-based Outlier Factor

Kernel-based

OCSVM [18]

One-Class Support Vector Machines

RSVM [19]

Robust Support Vector Machines

Tree-based

IForest [20]

Isolation Forest

Deep learning

AutoEncoder [21]

Fully connected AutoEncoder

VAE [22]

Variational AutoEncoder