Energy-aware adaptation for mobile applications
Proceedings of the seventeenth ACM symposium on Operating systems principles
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
Quantitative comparison of power management algorithms
DATE '00 Proceedings of the conference on Design, automation and test in Europe
Adaptive Disk Spin-down Policies for Mobile Computers
MLICS '95 Proceedings of the 2nd Symposium on Mobile and Location-Independent Computing
Program Counter-Based Prediction Techniques for Dynamic Power Management
IEEE Transactions on Computers
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Intelligent power management of mobile devices is getting more important as ubiquitous computing is coming true in daily life. Power aware system management relies on techniques of collecting and analyzing information on the status of I/O devices or processors while the system is running applications. However, the overhead of collecting information using software while the system is running is so huge that performance of the system may be severely deteriorated. Therefore, it is very crucial to design a PMU (power management unit) which collects information in hardware so that the performance of the system is not degraded. In this paper, we propose a novel PMU design which collects access patterns to I/O devices while an application is being executed. And a predictive power aware management is carried out based on the collected information. Experiments with various applications have been conducted to show the effectiveness of our approach.