The Deferrable Server Algorithm for Enhanced Aperiodic Responsiveness in Hard Real-Time Environments
IEEE Transactions on Computers
Power conscious fixed priority scheduling for hard real-time systems
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
A survey of design techniques for system-level dynamic power management
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section 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
Performance Comparison of Dynamic Voltage Scaling Algorithms for Hard Real-Time Systems
RTAS '02 Proceedings of the Eighth IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'02)
Integrating Multimedia Applications in Hard Real-Time Systems
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Power-Aware Scheduling for Periodic Real-Time Tasks
IEEE Transactions on Computers
Energy - Responsiveness Tradeoffs for Real-Time Systems with Mixed Workload
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
Energy-Efficient Policies for Request-Driven Soft Real-Time Systems
ECRTS '04 Proceedings of the 16th Euromicro Conference on Real-Time Systems
Preemption-aware dynamic voltage scaling in hard real-time systems
Proceedings of the 2004 international symposium on Low power electronics and design
Dynamic voltage scaling of periodic and aperiodic tasks in priority-driven systems
Proceedings of the 2004 Asia and South Pacific Design Automation Conference
Dynamic voltage scaling of mixed task sets in priority-driven systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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In spite of numerous inter-task dynamic voltage scaling (DVS) algorithms of real-time systems with either periodic tasks or aperiodic tasks, few of them were aimed at the mixed workload of both kind of tasks. A DVS algorithm for mixed workload real-time systems should not only focus on energy saving, but also should consider low response time of aperiodic tasks. In this paper, we develop an on-line energy efficient scheduling, called Slack Stealing for DVS (SS-DVS), to reduce CPU energy consumption for mixed workload real-time systems under the earliest deadline first (EDF) scheduling policy. The SS-DVS is based on the concept of slack stealing to serve aperiodic tasks and to save energy by using the dynamic reclaiming algorithm (DRA). Unlike other existing approaches, the SS-DVS does not need to know the workload and the worst case execution time of aperiodic tasks in advance. Experimental results show that the proposed SS-DVS obtains better energy reduction (17% - 22%) while maintaining the same response time compared to existing approaches.