The Markov-modulated Poisson process (MMPP) cookbook
Performance Evaluation
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
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Dynamic Power Management: Design Techniques and CAD Tools
Dynamic Power Management: Design Techniques and CAD Tools
Dynamic Power Management for Nonstationary Service Requests
IEEE Transactions on Computers
Modeling Power Management for Hard Disks
MASCOTS '94 Proceedings of the Second International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems
Hierarchical Adaptive Dynamic Power Management
Proceedings of the conference on Design, automation and test in Europe - Volume 1
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
A Formal Framework for Modeling and Analysis of System-Level Dynamic Power Management
ICCD '05 Proceedings of the 2005 International Conference on Computer Design
Stochastic modeling and optimization for robust power management in a partially observable system
Proceedings of the conference on Design, automation and test in Europe
Wavelet-based dynamic power management for nonstationary service requests
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Hard drive power consumption uncovered
ACM SIGMETRICS Performance Evaluation Review
Towards a general framework for cross-layer decision making in multimedia systems
IEEE Transactions on Circuits and Systems for Video Technology
System-level power management using online learning
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Run-time adaptive workload estimation for dynamic voltage scaling
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Online reinforcement learning for dynamic multimedia systems
IEEE Transactions on Image Processing
Uncertainty-aware dynamic power management in partially observable domains
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
SOC dynamic power management using artificial neural network
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
An adaptive hybrid dynamic power management algorithm for mobile devices
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
Online learning of timeout policies for dynamic power management
ACM Transactions on Embedded Computing Systems (TECS)
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Dynamic power management aims at extending battery life by switching devices to lower-power modes when there is a reduced demand for service. Static power management strategies can lead to poor performance or unnecessary power consumption when there are wide variations in the rate of requests for service. This paper presents a hierarchical scheme for adaptive dynamic power management (DPM) under nonstationary service requests. As the main theoretical contribution, we model the nonstationary request process as a Markov-modulated process with a collection of modes, each corresponding to a particular stationary request process. Optimal DPM policies are precalculated offline for selected modes using standard algorithms available for stationary Markov decision processes (MDPs). The power manager then switches online among these policies to accommodate the stochastic mode--switching request dynamics using an adaptive algorithm to determine the optimal switching rule based on the observed sample path. As a target application, we present simulations of hierarchical DPM for hard disk drives where the read/write request arrivals are modeled as a Markov-modulated Poisson process. Simulation results show that the power consumption of our approach under highly nonstationary request arrivals is less than that of a previously proposed heuristic approach and is even comparable to that of the optimal policy under stationary Poisson request process with the same arrival rate as the average arrival rate of the nonstationary request process.