The Markov-modulated Poisson process (MMPP) cookbook
Performance Evaluation
Dynamic power management for non-stationary service requests
DATE '99 Proceedings of the conference on Design, automation and test in Europe
Dynamic power management based on continuous-time Markov decision processes
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
Dynamic Power Management: Design Techniques and CAD Tools
Dynamic Power Management: Design Techniques and CAD Tools
Power Aware Design Methodologies
Power Aware Design Methodologies
Modeling Power Management for Hard Disks
MASCOTS '94 Proceedings of the Second International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems
Policy optimization for dynamic power management
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Hierarchical Adaptive Dynamic Power Management
IEEE Transactions on Computers
Hierarchical power management with application to scheduling
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
Proceedings of the conference on Design, automation and test in Europe: Proceedings
A Novel Penalty Controllable Dynamic Voltage Scaling Scheme for Mobile Multimedia Applications
IEEE Transactions on Mobile Computing
Dynamic power management using machine learning
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Robust and adaptive dynamic power management for time varying system
ICESS'04 Proceedings of the First international conference on Embedded Software and Systems
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The main contribution of this paper is a novel hierarchical scheme for adaptive dynamic power management (DPM) under nonstationary service requests. We model the nonstationary arrival process of service requests as a Markov-modulated stochastic process in which the stochastic process for each modulation state models a particular stationary mode of the arrival process. The bottom layer of our hierarchical architecture is a set of stationary optimal DPM policies, precalculated off-line for selected modes from policy optimization in Markov decision processes. The supervisory power manager at the top layer adaptively and optimally switches among these stationary policies on-line to accommodate the actual mode-switching arrival dynamics. Simulation results show that our approach, under highly nonstationary requests, canlead to significant power savings compared to previously proposed heuristic approaches.