1. A method for dynamic detection of resource management anomalies in a processing system, the method comprising: collecting data from a plurality of on-line data sources on the processing system, the collected data comprising performance data and power consumption data; identifying anomalous operation of a resource manager of the processing system based on the collected data from the on-line data sources, the identifying conducted absent a baseline of reference performance data; and initiating a corresponding palliative action based on identifying the anomalous operation.