Some Results of the Earliest Deadline Scheduling Algorithm
IEEE Transactions on Software Engineering
Comparing algorithm for dynamic speed-setting of a low-power CPU
MobiCom '95 Proceedings of the 1st annual international conference on Mobile computing and networking
The simulation and evaluation of dynamic voltage scaling algorithms
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
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
Energy-conserving feedback EDF scheduling for embedded systems with real-time constraints
Proceedings of the joint conference on Languages, compilers and tools for embedded systems: software and compilers for embedded systems
Feedback Control of Dynamic Systems
Feedback Control of Dynamic Systems
Control-theoretic dynamic frequency and voltage scaling for multimedia workloads
CASES '02 Proceedings of the 2002 international conference on Compilers, architecture, and synthesis for embedded systems
Dynamic and Aggressive Scheduling Techniques for Power-Aware Real-Time Systems
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
A control-theoretic approach to dynamic voltage scheduling
Proceedings of the 2003 international conference on Compilers, architecture and synthesis for embedded systems
Power-Aware Scheduling for Periodic Real-Time Tasks
IEEE Transactions on Computers
Leakage aware dynamic voltage scaling for real-time embedded systems
Proceedings of the 41st annual Design Automation Conference
Procrastination scheduling in fixed priority real-time systems
Proceedings of the 2004 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
Feedback EDF Scheduling Exploiting Dynamic Voltage Scaling
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
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
Optimized Slowdown in Real-Time Task Systems
ECRTS '04 Proceedings of the 16th Euromicro Conference on Real-Time Systems
The design and application of the PowerPC 405LP energy-efficient system-on-a-chip
IBM Journal of Research and Development
Feedback-Based Dynamic Voltage and Frequency Scaling for Memory-Bound Real-Time Applications
RTAS '05 Proceedings of the 11th IEEE Real Time on Embedded Technology and Applications Symposium
Feedback EDF scheduling exploiting hardware-assisted asynchronous dynamic voltage scaling
LCTES '05 Proceedings of the 2005 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
Policies for dynamic clock scheduling
OSDI'00 Proceedings of the 4th conference on Symposium on Operating System Design & Implementation - Volume 4
Scheduling for reduced CPU energy
OSDI '94 Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Performance specifications and metrics for adaptive real-time systems
RTSS'10 Proceedings of the 21st IEEE conference on Real-time systems symposium
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Contemporary processors support dynamic voltage scaling (DVS) to reduce power consumption by varying processor voltage/frequency dynamically. We develop power-aware feedback--DVS algorithms for hard real-time systems that adapt to dynamically changing workloads. The algorithms lower execution speed while guaranteeing timing constraints. We study energy consumption for synchronous and asynchronous DVS switching on a PowerPC board. Energy, measured via data acquisition, is reduced up to 70% over naïve DVS for our feedback scheme with 24% peak savings over previous algorithms. These results, albeit differing in quantity, confirm trends observed under simulation. They are the first of their kind on an embedded board.