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

Journal of Cloud Computing

Advances, Systems and Applications

Table 7 Comparison results of all detection methods

Challenge	Indicator	IForest	KNN	LOF	OCSVM	Emsemble_max	Ensemble_avg	Ensemble_w_avg	Deep_ensemble
Detection accuracy	F1 score	0.7335	0.6422	0.5246	0.6732	0.7453	0.7188	0.7169	0.8324
Algorithm robustness	Robustness score	0.6143	0.3286	0	0.3286	0.6143	0.5286	0.5714	1
Multi-step prediction	Prediction score	-	-	-	-	-	-	-	3.3497
ARP_score		1.3478	0.9708	0.5246	1.0018	1.3596	1.2474	1.2883	5.1821