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Dynamic I/O power management in real-time systems with multiple-state I/O devices

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2 Author(s)
Swaminathan, V. ; Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA ; Chakrabarty, K.

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.

Published in:

Information Fusion, 2002. Proceedings of the Fifth International Conference on  (Volume:2 )

Date of Conference:

8-11 July 2002