1. A method of facilitating identification of an anomalous component within a processing system, said method comprising: transforming, by a processor, one or more original metrics of a processing system being monitored to obtain one or more transformed metrics, wherein the transforming uses a selected mathematical transformation function, the selected mathematical transformation function comprising a Discrete Cosine Transform, a Discrete Wavelet Transform, a multi-dimensional to multi-dimensional mapping or a statistically-estimated transform; analyzing, by the processor, the one or more transformed metrics of the processing system being monitored, wherein the analyzing detects an anomaly in the processing system; based on detecting the anomaly in analyzing the one or more transformed metrics, inversely transforming at least one transformed metric of the one or more transformed metrics to obtain at least one original metric of the one or more original metrics, the inversely transforming using a mathematical transformation function to transform the at least one transformed metric back to the at least one original metric, and the at least one original metric being at least one suspect original metric; and using the at least one suspect original metric to identify the anomalous component.