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Sustainable Quality of Service for Real-Time Jobs in Autonomous Computing Devices
- 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.
- Subjects :
- energy harvesting
Earliest deadline first scheduling
Power management
business.industry
Computer science
Quality of service
Distributed computing
real-time
020207 software engineering
02 engineering and technology
Dynamic priority scheduling
Fair-share scheduling
020202 computer hardware & architecture
Scheduling (computing)
Embedded system
0202 electrical engineering, electronic engineering, information engineering
Wireless
[INFO.INFO-ES]Computer Science [cs]/Embedded Systems
power management
scheduling
business
Energy harvesting
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2014 International Conference on Future Internet of Things and Cloud
- Accession number :
- edsair.doi.dedup.....d9429913c99f22616720d8b5374e3f16