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Fine-grained power monitoring of software activities becomes unavoidable tomaximize the power usage efficiency of data centers. In particular, achievingan optimal scheduling of containers requires the deployment of software-definedpower~meters to go beyond the granularity of hardware power monitoring sensors,such as Power Distribution Units (PDU) or Intel's Running Average Power Limit(RAPL), to deliver power estimations of activities at the granularity ofsoftware~containers. However, the definition of the underlying power modelsthat estimate the power consumption remains a long and fragile process that istightly coupled to the host machine.  To overcome these limitations, this paper introduces SmartWatts: alightweight power monitoring system that adopts online calibration toautomatically adjust the CPU and DRAM power models in order to maximize theaccuracy of runtime power estimations of containers. Unlike state-of-the-arttechniques, SmartWatts does not require any a priori training phase or hardwareequipment to configure the power models and can therefore be deployed on a widerange of machines including the latest power optimizations, at no cost.

SmartWatts: Self-Calibrating Software-Defined Power Meter for Containers