Behavioral Systel Level Power Consumption Modeling of Mobile Video Streaming applications
This work addresses energy constraints for mobile users by improving power modeling in video streaming applications, but it appears incremental as it builds on existing sub-models.
The authors tackled the problem of high energy consumption in mobile video streaming by proposing a methodology to build and validate a high-level global power consumption model that integrates hardware and software elements, resulting in a more accurate model through the study of interactions between sub-models.
Nowadays, the use of mobile applications and terminals faces fundamental challenges related to energy constraint. This is due to the limited battery lifetime as compared to the increasing hardware evolution. Video streaming is one of the most energy consuming applications in a mobile system because of its intensive use of bandwidth, memory and processing power. In this work, we aim to propose a methodology for building and validating a high level global power consumption model including a hardware and software elements. Our approach is based on exploiting the interactions between power consumption sub-models of standalone systems in the perspective to build more accurate global model. The interactions are studied within the exclusive context of video streaming applications that are one of the most used mobile applications.