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.
Domenico Balsamo, Alex Weddell, Geoff Merrett, Bashir Al-Hashimi, Davide Brunelli, Luca Benini (2015). Hibernus: Sustaining Computation during Intermittent Supply for Energy-Harvesting Systems. IEEE EMBEDDED SYSTEMS LETTERS, 7(1), 15-18 [10.1109/LES.2014.2371494].
Hibernus: Sustaining Computation during Intermittent Supply for Energy-Harvesting Systems
BALSAMO, DOMENICO;BRUNELLI, DAVIDE;BENINI, LUCA
2015
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
