A key challenge to the future of energy-harvesting systems is the discontinuous power supply that is often generated. We propose a new approach, Hibernus, which enables computation to be sustained during intermittent supply. The approach has a low energy and time overhead which is achieved by reactively hibernating: saving system state only once, when power is about to be lost, and then sleeping until the supply recovers.We validate the approach experimentally on a processor with FRAM nonvolatile memory, allowing it to reactively hibernate using only energy stored in its decoupling capacitance. When compared to a recently proposed technique, the approach reduces processor time and energy overheads by 76-100% and 49-79% respectively.
Hibernus: Sustaining Computation during Intermittent Supply for Energy-Harvesting Systems / Balsamo, Domenico; Weddell, Alex S.; Merrett, Geoff V.; Al-Hashimi, Bashir M.; Brunelli, Davide; Benini, Luca. - In: IEEE EMBEDDED SYSTEMS LETTERS. - ISSN 1943-0663. - STAMPA. - 7:1(2015), pp. 15-18. [10.1109/les.2014.2371494]
Hibernus: Sustaining Computation during Intermittent Supply for Energy-Harvesting Systems
Brunelli, Davide;
2015-01-01
Abstract
A key challenge to the future of energy-harvesting systems is the discontinuous power supply that is often generated. We propose a new approach, Hibernus, which enables computation to be sustained during intermittent supply. The approach has a low energy and time overhead which is achieved by reactively hibernating: saving system state only once, when power is about to be lost, and then sleeping until the supply recovers.We validate the approach experimentally on a processor with FRAM nonvolatile memory, allowing it to reactively hibernate using only energy stored in its decoupling capacitance. When compared to a recently proposed technique, the approach reduces processor time and energy overheads by 76-100% and 49-79% respectively.File | Dimensione | Formato | |
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