Proceedings of the seventh international conference (1990) on Machine learning
Technical Note: \cal Q-Learning
Machine Learning
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Dynamic power management based on continuous-time Markov decision processes
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
A predictive system shutdown method for energy saving of event-driven computation
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Dynamic power management using adaptive learning tree
ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
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 for portable systems
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Comparing System-Level Power Management Policies
IEEE Design & Test
Dynamic Power Management for Nonstationary Service Requests
IEEE Transactions on Computers
Online strategies for dynamic power management in systems with multiple power-saving states
ACM Transactions on Embedded Computing Systems (TECS)
Hierarchical Adaptive Dynamic Power Management
IEEE Transactions on Computers
Dynamic preferences in multi-criteria reinforcement learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
PowerNap: An Efficient Power Management Scheme for Mobile Devices
IEEE Transactions on Mobile Computing
Dynamic power management using machine learning
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
EURASIP Journal on Embedded Systems
Design and management of voltage-frequency island partitioned networks-on-chip
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Adaptive power management using reinforcement learning
Proceedings of the 2009 International Conference on Computer-Aided Design
Autonomous Audio-Supported Learning of Visual Classifiers for Traffic Monitoring
IEEE Intelligent Systems
Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining
Applied Soft Computing
Supervised learning based power management for multicore processors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Dynamic power management in environmentally powered systems
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
EUC '10 Proceedings of the 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing
Towards a Science of Cyber-Physical Systems Design
ICCPS '11 Proceedings of the 2011 IEEE/ACM Second International Conference on Cyber-Physical Systems
Cyberphysical Systems: Workload Modeling and Design Optimization
IEEE Design & Test
Proceedings of the 48th Design Automation Conference
An adaptive hybrid dynamic power management algorithm for mobile devices
Computer Networks: The International Journal of Computer and Telecommunications Networking
QoS provisioning in wireless video sensor networks: a dynamic power management framework
IEEE Wireless Communications
A predictive dynamic power management technique for embedded mobile devices
IEEE Transactions on Consumer Electronics
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
Non-Stationary Traffic Analysis and Its Implications on Multicore Platform Design
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
NOCS '12 Proceedings of the 2012 IEEE/ACM Sixth International Symposium on Networks-on-Chip
Robust Traffic State Estimation on Smart Cameras
AVSS '12 Proceedings of the 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance
Robust optimization of a Chip Multiprocessor's performance under power and thermal constraints
ICCD '12 Proceedings of the 2012 IEEE 30th International Conference on Computer Design (ICCD 2012)
GREENCOM '12 Proceedings of the 2012 IEEE International Conference on Green Computing and Communications
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Dynamic power management (DPM) refers to strategies which selectively change the operational states of a device during runtime to reduce the power consumption based on the past usage pattern, the current workload, and the given performance constraint. The power management problem becomes more challenging when the workload exhibits nonstationary behavior which may degrade the performance of any single or static DPM policy. This article presents a reinforcement learning (RL)-based DPM technique for optimal selection of timeout values in the different device states. Each timeout period determines how long the device will remain in a particular state before the transition decision is taken. The timeout selection is based on workload estimates derived from a Multilayer Artificial Neural Network (ML-ANN) and an objective function given by weighted performance and power parameters. Our DPM approach is further able to adapt the power-performance weights online to meet user-specified power and performance constraints, respectively. We have completely implemented our DPM algorithm on our embedded traffic surveillance platform and performed long-term experiments using real traffic data to demonstrate the effectiveness of the DPM. Our results show that the proposed learning algorithm not only adequately explores the power-performance trade-off with nonstationary workload but can also successfully perform online adjustment of the trade-off parameter in order to meet the user-specified constraint.