Crowdsourcing solution for mobile resource consumption analysis

The outstanding increase in smartphone adoption rates across the globe in recent years has created the opportunity to analyze large amounts of data produced by mobile usage in the search for a means to improve the user experience. Several solutions exist that help the user understand the resource consumption of the mobile device. However, their estimates are rough and hardly accurate. We believe that leveraging crowdsourcing can lead in the future to better insights for the user over the mobile device. In this paper, we describe our current status in designing and implementing a centralized system for aggregation and statistical analysis of resource consumption traces from mobile devices. We evaluate the system using a real-world dataset covering hundreds of devices over three months.