6533b86ffe1ef96bd12cd267
RESEARCH PRODUCT
On-board Energy Consumption Assessment for Symbolic Execution Models on Embedded Devices
Antonio BordonaroSalvatore GaglioDaniele PeriGiuseppe Lo ReGloria Martorellasubject
Battery (electricity)Computer sciencebusiness.industry020206 networking & telecommunicationsContext (language use)02 engineering and technologyEnergy consumptionSymbolic executionEmbedded deviceSoftware testing020202 computer hardware & architectureInternet of Things (IoT)Energy UtilizationOn boardSoftwarePower ManagementEmbedded systemEnergy Assessment0202 electrical engineering electronic engineering information engineeringResource-constrained DeviceBaseline (configuration management)businessEnergy (signal processing)description
Internet of Things (IoT) applications operate in several domains while requiring seamless integration among heterogeneous objects. Regardless of the specific platform and context, IoT applications demand high energy efficiency. Adopting resource-constrained embedded devices for IoT applications means ensuring low power consumption, low maintenance costs and possibly longer battery life. Meeting these requirements is particularly arduous as programmers are not able to monitor the energy consumption of their own software during development or when applications are finally deployed. In this paper, we discuss on-board real-time energy evaluation of both hardware and software during the development phases and prospect the inclusion of energy-aware capabilities into symbolic execution models for resource-constrained devices, which have not been widely explored before. To provide baseline estimations, tests were carried out on different hardware and software configurations.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-09-01 |