Predictive power aware management for embedded mobile devices

Abstract

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.