Analyzing the Power Consumption of the Mobile Page Load

Modeling the energy consumption of applications on mobile devices is an important topic that has received much attention in recent years. However, there has been very little research on modeling the energy consumption of the mobile Web. This is primarily due to the short-lived yet complex page load process that makes it infeasible to rely on coarsegrained resource monitoring for accurate power estimation. We present RECON, a modeling approach that accurately predicts the energy consumption of any Web page load. Our key intuition is to leverage low-level application semantics in addition to coarse-grained resource utilizations while modeling the page load energy consumption. By exploiting finegrained information about the individual activities that make up the page load, RECON enables fast and accurate energy predictions without requiring complex models or analyses. Experiments across 80 Web pages and under four different optimizations show that RECON can predict the energy consumption for a Web page load with an average error of less than 7%. Further, RECON helps to analyze and explain the energy effects of an optimization on Web page loads.