Anomaly detection for electricity consumption in cloud computing: framework, methods, applications, and challenges

EURASIP Journal on Wireless Communications and Networking

Table 1 Definitions of anomalies and anomaly detection

Term	Definition	Reference
Anomalies	One that appears to deviate markedly from other members of the sample in which it occurs.	Xue et al. [22]
	An observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism.	Pauwels et al. [23]
	A data point that is very different from the rest of the data.	Moghaddass et al. [24]
	An observation in a dataset that appears to be inconsistent with the remainder of that set of data.	Miao et al. [25]
Anomaly detection	The problem of finding patterns in data that are not consistent with expected behavior.	Sabokrou et al. [26]
	The task of identifying that test data differ in some respect from the data that are available during training.	Patel et al. [27]
	The work of detecting fault data by constantly monitoring specific features of data and comparing the real-time data with either the features of normal data or those for faults.	Hodge et al. [21]