2016
,
Heinrich, Patrick
,
Oswald, Erik
,
Knorr, Rudi
This paper presents and evaluates the energy saving potential of adaptive, networked, embedded systems. The aim is to demonstrate the benefits of modeling the energy demand during the development of such systems. For this purpose, the previous developed energy model is applied within a case study and different allocations of software components are compared. The estimated energy demands of these allocations are presented and discussed. The analyzed system of the case study represents an automotive system which executes two advanced driver assistance applications. The system is adaptive, which means that temporally unnecessary applications will be deactivated. Within the evaluated system this deactivation depends on the vehicle speed, which is derived by the New European Driving Cycle. Two different allocations of software components are evaluated.
2015
,
Heinrich, Patrick
,
Bergler, Hannes
,
Oswald, Erik
This paper presents and evaluates a new approach of modeling energy consumption of embedded systems resulted by concurrent software components. The objective is to enable energy estimation within early phases of system development, which allows system designers to compare different allocations of software components within networked systems. The individual elements of the presented model are: energy consumption of software components themselves, energy consumption resulted by any software component, and energy consumption resulted by specific software components. The The developed model was applied within an automotive case study which shows a theoretical energy saving potential of 36.2 %. This demonstrates the potential and relevance of modeling energy estimation within early development phases.