Back to Search Start Over

Sustainable Quality of Service for Real-Time Jobs in Autonomous Computing Devices

Authors :
Rola El Osta
Maryline Chetto
Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN)
Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN)
Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS)
IEEE Computer Society
Source :
FiCloud, Proceedings of 2014 International Conference on Future Internet of Things and Cloud, 2014 International Conference on Future Internet of Things and Cloud, 2014 International Conference on Future Internet of Things and Cloud, Aug 2014, Barcelone, Spain. pp.453-457, ⟨10.11.1109/FiCloud.2014.81⟩
Publication Year :
2014
Publisher :
IEEE, 2014.

Abstract

International audience; Energy harvesting has emerged as an efficient way for powering wireless devices in order to extend their lifetime. In this paper a dynamic power manage- ment strategy is described that guarantees the correct execution of every feasible application for a given energy harvester, energy storage unit and processor. The so-called ED-H strategy was recently proved to be optimal in that sense that ED-H optimizes the Quality of Service defined as the ratio of deadline success for the real-time jobs. We propose to describe this novel strategy for dynamic power management and scheduling.

Details

Database :
OpenAIRE
Journal :
2014 International Conference on Future Internet of Things and Cloud
Accession number :
edsair.doi.dedup.....d9429913c99f22616720d8b5374e3f16