Abstract: An energy measurement system (“EMS”) and techniques for correlating energy consumption to computing system activity. The EMS includes a data acquisition module, a processing module, and optionally a visualization module. The data acquisition module receives and transmits to the processing unit a number of sampled data streams, referred to as “data acquisition traces,” associated with a computing system under test (“SUT”). The processing module concurrently receives one or more system traces from the SUT, which are produced by particular components under examination by the EMS. Synchronization is established between the data acquisition traces and the system trace(s) when the SUT executes certain predetermined actions to produce data in both the data acquisition traces and the system trace(s), which data is used to logically align the traces. Then, as test scenarios are executed by the SUT, changes are monitored in the traces, and energy consumption is quantified.

Abstract: A data visualization and analysis system (“DVAS”) is described, which provides techniques and data models for modeling, storing, retrieving, analyzing, and visually representing large data sets in a rapid, lightweight, flexible, and highly interactive fashion. A data model and various techniques are described with reference to trace data sets, which are files or other data storage constructs used to record information regarding certain defined events occurring during operation of a computing system or a portion thereof. The DVAS receives and parses one or more trace data sets to create a data model that includes a number of layers and other inner or auxiliary data structures. Based on the data model, the DVAS visually renders one or more sets of geometric objects in accordance with different drawing modes. The drawing modes, which are dynamic and interactive, enable users to effectively visually identify patterns within the trace data sets.

Abstract: An energy measurement system (“EMS”) and techniques for correlating energy consumption to computing system activity. The EMS includes a data acquisition module, a processing module, and optionally a visualization module. The data acquisition module receives and transmits to the processing unit a number of sampled data streams, referred to as “data acquisition traces,” associated with a computing system under test (“SUT”). The processing module concurrently receives one or more system traces from the SUT, which are produced by particular components under examination by the EMS. Synchronization is established between the data acquisition traces and the system trace(s) when the SUT executes certain predetermined actions to produce data in both the data acquisition traces and the system trace(s), which data is used to logically align the traces. Then, as test scenarios are executed by the SUT, changes are monitored in the traces, and energy consumption is quantified.