Design issues for dynamic voltage scaling
ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
Energy efficient fixed-priority scheduling for real-time systems on variable voltage processors
Proceedings of the 38th annual Design Automation Conference
Hard real-time scheduling for low-energy using stochastic data and DVS processors
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Real-time dynamic voltage scaling for low-power embedded operating systems
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Intra-Task Voltage Scheduling for Low-Energy, Hard Real-Time Applications
IEEE Design & Test
Dynamic voltage scaling algorithm for fixed-priority real-time systems using work-demand analysis
Proceedings of the 2003 international symposium on Low power electronics and design
Proceedings of the conference on Design, automation and test in Europe
Power-Aware Scheduling for Periodic Real-Time Tasks
IEEE Transactions on Computers
Preemption-aware dynamic voltage scaling in hard real-time systems
Proceedings of the 2004 international symposium on Low power electronics and design
Transition-overhead-aware voltage scheduling for fixed-priority real-time systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Context switch overheads for Linux on ARM platforms
Proceedings of the 2007 workshop on Experimental computer science
Energy-Efficient Scheduling for Real-Time Systems on Dynamic Voltage Scaling (DVS) Platforms
RTCSA '07 Proceedings of the 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Transition-aware DVS algorithm for real-time systems using tree structure analysis
Journal of Systems Architecture: the EUROMICRO Journal
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This work presents a scheduling algorithm to reduce the energy of hard real-time tasks with fixed priorities assigned in a rate-monotonic policy. Sets of independent tasks running periodically on a processor with dynamic voltage scaling (DVS) are considered as well. The proposed online approach can cooperate with many slack-time analysis methods based on low-power work demand analysis (lpWDA) without increasing the computational complexity of DVS algorithms. The proposed approach introduces a novel technique called low-power fluid slack analysis (lpFSA) that extends the analysis interval produced by its cooperative methods and computes the available slack in the extended interval. The lpFSA regards the additional slack as fluid and computes its length, such that it can be moved to the current job. Therefore, the proposed approach provides the cooperative methods with additional slack. Experimental results show that the proposed approach combined with lpWDA-based algorithms achieves more energy reductions than do the initial algorithms alone.