IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A predictive system shutdown method for energy saving of event-driven computation
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
Power-aware operating systems for interactive systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Scheduler-based DRAM energy management
Proceedings of the 39th annual Design Automation Conference
Operating System Concepts
Proceedings of the conference on Design, automation and test in Europe
Proceedings of the conference on Design, automation and test in Europe - Volume 1
Hierarchical Adaptive Dynamic Power Management
Proceedings of the conference on Design, automation and test in Europe - Volume 1
Managing power consumption in networks on chips
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Policy optimization for dynamic power management
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Stochastic modeling of a power-managed system-construction and optimization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Energy reduction by workload adaptation in a multi-process environment
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Stochastic modeling and optimization for robust power management in a partially observable system
Proceedings of the conference on Design, automation and test in Europe
Autonomic power and performance management for computing systems
Cluster Computing
A framework of stochastic power management using hidden Markov model
Proceedings of the conference on Design, automation and test in Europe
Uncertainty-aware dynamic power management in partially observable domains
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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This paper presented a hierarchical power management architecture which aims to facilitate power-awareness in an Energy-Managed Computer (EMC) system with multiple components. The proposed architecture divides PM function into two layers: system-level and component-level. The system-level hierarchical PM was formulated as a concurrent service request flow regulation and application scheduling problem. Experimental results showed that a 25% reduction in the total system energy can be achieved compared to the optimal component-level DPM policy