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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Swaminathan, V. Chakrabarty, K. |
| Copyright Year | 2002 |
| Description | Author affiliation: Duke Univ., Durham, NC, USA (Swaminathan, V.; Chakrabarty, K.) |
| Abstract | Power consumption is now an important design parameter for distributed sensor networks. While dynamic (or software-controlled) power management (DPM) is being increasingly used as an alternative to inflexible hardware solutions, DPM for hard real-time systems has received relatively little attention. In particular, energy-driven I/O device scheduling for real-time systems has received even less attention. We present an online DPM algorithm, which we call multi-state constrained low energy scheduler (MUSCLES), for hard real-time systems. MUSCLES generates a sequence of power states for each multiple-state I/O device while guaranteeing that real-time constraints are not violated. It also minimizes the energy consumed by the I/O devices that are used by a task set. MUSCLES is energy-optimal under the constraint that the start times of the tasks are fixed. We present several realistic case studies to show that MUSCLES reduces energy consumption significantly for real-time systems. |
| Starting Page | 1588 |
| Ending Page | 1595 |
| File Size | 673270 |
| Page Count | 8 |
| File Format | |
| ISBN | 0972184414 |
| DOI | 10.1109/ICIF.2002.1021006 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-07-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Int. Soc. of Information Fusion |
| Subject Keyword | Energy management Power system management Real time systems Energy consumption Sensor systems Muscles Clocks Hardware Wireless sensor networks Hard disks |
| Content Type | Text |
| Resource Type | Article |
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