Energy-efficient and fast real-time
As per Directive 2012/27/EU the European Union is facing unprecedented challenges resulting from increased dependence on energy imports and scarce energy resources, and the need to limit climate change and to overcome the economic crisis. Energy efficiency is a valuable means to address these challenges. It improves the Union’s security of supply by reducing primary energy consumption and decreasing energy imports. It helps to reduce greenhouse gas emissions in a cost-effective way and thereby to mitigate climate change.
Shifting to a more energy-efficient economy should also accelerate the spread of innovative technological solutions and improve the competitiveness of industry in the Union, boosting economic growth and creating high quality jobs in several sectors related to energy efficiency. The predicted worldwide network standby energy consumption of the prioritized Internet-of-Things (IoT) edge devices increases with an annual growth rate of 20%, and reaches 46 TWh in the year 2025, which is equal to Portugal’s entire annual electricity consumption in the year 2012.
The University of Luxembourg, together with its partners in the Joint International Doctoral (Ph.D.) Degree in Law, Science and Technology, is conducting research devoted to design tools that can balance performance and energy cost trade-offs for real time data analysis like video streaming. High definition video streams processing not only consumes lot of power but also lots of computing resources. This tool would not only maximize use of renewable energy at available data processing points (IoT device, cell phone, edge cloud and core cloud) but also increase processing speed by employing concepts of mobile crowd-sensing and profiling.
The benefit achieved would be two-fold; firstly, reducing consumption of brown energy which in turn would decrease greenhouse gas emissions along with providing more energy efficiency to each device/setup involved in the processing; secondly, increasing the processing speed of analysis.