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Authors: | Kai Lampka, Kai Huang, Jian-Jia Chen |
Group: | Computer Engineering |
Type: | Inproceedings |
Title: | Dynamic Counters and the Efficient and Effective Online Power Management of Embedded Real-time Systems |
Year: | 2011 |
Month: | October |
Pub-Key: | LHC11 |
Book Titel: | Proceedings of the 8th International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2011 |
Pages: | 267-276 |
Keywords: | Dynamic Power Management, Energy Minimization, Real-Time Event Streams, Real-Time Calculus |
Publisher: | ACM |
Abstract: | Energy reduction has become an important issue for modern embedded systems. On one hand, we would like to deploy high-performance systems and provide guaranteed services. On the other hand, systems should last as long as possible which can be achieved by reducing their energy consumption. With on-line dynamic power management (DPM), one adaptively changes the system's power mode, i.e., schedules when to turn on and off on-the-fly, to achieve energy savings. This paper introduces dynamic counters and discusses their usage in the context of (online) DPM under the premises that the system has to fulfill hard real-time requirements. At its core the proposed scheme enables one to conservatively bound a device's future workload and to exploit this bound for safely scheduling when to turn the device on and off. Compared to previous work in this direction the proposed technique does not need to store stream's history explicitly, nor does it rely on computationally expensive operations for constructing history-dependent functions for bounding the future workload of a device. Hence the proposed technique is more efficient. Moreover, as the computed bounds are also less pessimistic, the introduced technique is also more effective with respect to energy savings. We present simulation results to demonstrate the effectiveness and efficiency. |
Remarks: | Part of the Seventh Embedded Systems Week 2011 |
Location: | Taipei, Taiwan |
Resources: | [BibTeX] [Paper as PDF] |