Name
Abstract | ||
|---|---|---|
In battery-powered embedded systems, the limit of battery charge creates a challenge in scheduling tasks to meet both their deadlines and Quality of Service (QoS) requirements. Harvesting energy from the surrounding environment continuously eliminates the concern of limited battery charge. However, the uncertainty in availability of energy brings challenges in embedded systems. In this paper, we propose an energy management technique to maximize QoS of the system. Our technique is composed of two steps: an offline step and an online step. In the offline step we use frame-based energy harvesting prediction in one harvesting period, in order to find the best QoS level for the tasks and maximize the energy utilization. The information provided from the offline step guides the online scheduler to decide about job scheduling at run-time to minimize the QoS violation. We compared our scheduler with other approaches and on average we reduce the violation count by 22%. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/RTCSA.2012.38 | Embedded and Real-Time Computing Systems and Applications |
Keywords | Field | DocType |
battery chargers,battery management systems,budgeting,embedded systems,energy harvesting,energy management systems,quality of service,scheduling,QoS level,QoS violation,battery-powered embedded systems,energy budget management,energy harvesting embedded systems,energy management technique,energy utilization,frame-based energy harvesting prediction,job scheduling,limited battery charge,offline step,online scheduler,online step,quality of service requirements,scheduling tasks | Battery charge,Energy management,Energy budget,Computer science,Scheduling (computing),Energy harvesting,Quality of service,Real-time computing,Schedule,Job scheduler,Distributed computing,Embedded system | Conference |
ISSN | ISBN | Citations |
1533-2306 E-ISBN : 978-0-7695-4824-1 | 978-0-7695-4824-1 | 6 |
PageRank | References | Authors |
0.46 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| H. Kooti | 1 | 36 | 4.31 |
| Nga Dang | 2 | 20 | 3.52 |
| Deepak Mishra | 3 | 386 | 74.15 |
| Eli Bozorgzadeh | 4 | 61 | 11.30 |