Journal of Cloud Computing

Advances, Systems and Applications

Table 2 Description of the experimental data set

From: MFGAD-INT: in-band network telemetry data-driven anomaly detection using multi-feature fusion graph deep learning

No.	Traffic	Anomaly Events	Duration
E1	High load	Microburst	0.30h
E2	Low load	Microburst	0.35h
E3	High load	Elephant Flow	0.30h
E4	Low load	Elephant Flow	0.35h
E5	High load	Both	0.30h
E6	Low load	Both	0.35h

Back to article page