Published Articles >> Table of Contents >> Abstract

15th Euromicro Conference on Real-Time Systems (ECRTS'03)   p. 95
Multi-Version Scheduling in Rechargeable Energy-Aware Real-Time Systems
Cosmin Rusu, University of Pittsburgh
Rami Melhem, University of Pittsburgh
Daniel Mosse, University of Pittsburgh

Full Article Text:

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EMRTS.2003.1212732
Send link to a friend

Abstract
In the context of battery-powered real-time systems three constraints need to be addressed: energy, deadlines and task rewards. Many future real-time systems will count on different software versions, each with different rewards, time and energy requirements, to achieve a variety of QoS-aware tradeoffs. We propose a solution that allows the device to run the most valuable task versions while still meeting all deadlines and without depleting the energy. Assuming that the battery is rechargeable, we also propose (a) a static solution that maximizes the system value assuming a worstcase scenario (i.e., worst-case task execution times); and (b) a dynamic scheme that takes advantage of the extra energy in the system when worst-case scenarios do not happen. Three dynamic policies are shown to make better use of the recharging energy while improving the system value.
Back to Top Additional Information
Citation:  Cosmin Rusu, Rami Melhem, Daniel Mosse, "Multi-Version Scheduling in Rechargeable Energy-Aware Real-Time Systems," ecrts, p. 95,  15th Euromicro Conference on Real-Time Systems (ECRTS'03),  2003