Voltage scheduling problem for dynamically variable voltage processors
ISLPED '98 Proceedings of the 1998 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
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Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
Intra-Task Voltage Scheduling for Low-Energy, Hard Real-Time Applications
IEEE Design & Test
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FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Synthesis Techniques for Low-Power Hard Real-Time Systems on Variable Voltage Processors
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Proceedings of the conference on Design, automation and test in Europe
Dynamic and Aggressive Scheduling Techniques for Power-Aware Real-Time Systems
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
Application Transformations for Energy and Performance-Aware Device Management
Proceedings of the 2002 International Conference on Parallel Architectures and Compilation Techniques
Conserving disk energy in network servers
ICS '03 Proceedings of the 17th annual international conference on Supercomputing
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IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11 - Volume 12
Energy-efficiency and storage flexibility in the blue file system
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
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We describe SimDVS, a unified simulation environment for evaluating dynamic voltage scaling (DVS) algorithms, and present the evaluation results for three case studies using SimDVS. In recent years, DVS has received a lot of attention as an effective low-power design technique, and many research groups have proposed various DVS algorithms. However, these algorithms have not been quantitatively evaluated, making it difficult to understand the performance of a new DVS algorithm objectively relative to the existing DVS algorithms. The SimDVS environment provides a framework for objective performance evaluations of various DVS algorithms. Using SimDVS, we compare the energy efficiency of the intra-task DVS algorithm and inter-task DVS algorithms, and evaluate various heuristics for a hybrid DVS approach. We also show that more efficient DVS algorithms may incur higher system overheads, degrading the overall energy efficiency of the DVS algorithms.