Name
Abstract | ||
|---|---|---|
It is becoming crucial to manage devices intelligently to reduce the power consumption of mobile embedded systems. Power-aware system management relies on techniques of collecting and analyzing information on the status of Input/Output (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 degraded. Therefore, designing a Power Management Unit (PMU) that collects information and analyzes the information with some hardware support is very important. In this paper, we propose a novel PMU design that collects and analyzes access patterns to I/O devices while an application is being executed. We also propose a predictive power-aware management scheme which is carried out based on the collected information. Experiments with various applications have been conducted to show the effectiveness of our approach. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TCE.2010.5505992 | IEEE Trans. Consumer Electronics |
Keywords | Field | DocType |
analyzes access pattern,dynamic power management,power consumption,power-aware system management,novel pmu design,o device,predictive dynamic power management,predictive power-aware management scheme,power management unit,mobile embedded system,embedded mobile device,various application,hardware support,low-power design,embedded os,embedded system,mobile device,mobile computing,kernel,software performance,software systems,input output,embedded systems,degradation,information analysis,energy management,system management,prediction algorithms,application software | Embedded operating system,Kernel (linear algebra),Mobile computing,Dynamic power management,Computer science,Real-time computing,Software,Mobile device,Systems management,Power Management Unit,Embedded system | Journal |
Volume | Issue | ISSN |
56 | 2 | 0098-3063 |
Citations | PageRank | References |
11 | 0.74 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young-Si Hwang | 1 | 18 | 1.91 |
| Sung-Kwan Ku | 2 | 12 | 1.44 |
| Ki-seok Chung | 3 | 189 | 18.76 |