Logo image
Hibernus plus plus : A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices
Journal article   Open access   Peer reviewed

Hibernus plus plus : A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices

Domenico Balsamo, Alex S. Weddell, Anup Das, Alberto Rodriguez Arreola, Davide Brunelli, Bashir M. Al-Hashimi, Geoff V. Merrett and Luca Benini
IEEE transactions on computer-aided design of integrated circuits and systems, v 35(12), pp 1968-1980
01 Dec 2016
url
https://doi.org/10.1109/tcad.2016.2547919View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Computer Science Computer Science, Hardware & Architecture Computer Science, Interdisciplinary Applications Engineering Engineering, Electrical & Electronic Science & Technology Technology
Energy harvesters are being used to power autonomous systems, but their output power is variable and intermittent. To sustain computation, these systems integrate batteries or supercapacitors to smooth out rapid changes in harvester output. Energy storage devices require time for charging and increase the size, mass, and cost of systems. The field of transient computing moves away from this approach, by powering the system directly from the harvester output. To prevent an application from having to restart computation after a power outage, approaches such as Hibernus allow these systems to hibernate when supply failure is imminent. When the supply reaches the operating threshold, the last saved state is restored and the operation is continued from the point it was interrupted. This paper proposes Hibernus++ to intelligently adapt the hibernate and restore thresholds in response to source dynamics and system load properties. Specifically, capabilities are built into the system to autonomously characterize the hardware platform and its performance during hibernation in order to set the hibernation threshold at a point which minimizes wasted energy and maximizes computation time. Similarly, the system auto-calibrates the restore threshold depending on the balance of energy supply and consumption in order to maximize computation time. Hibernus++ is validated both theoretically and experimentally on microcontroller hardware using both synthesized and real energy harvesters. Results show that Hibernus++ provides an average 16% reduction in energy consumption and an improvement of 17% in application execution time over state-of-the-art approaches.

Metrics

12 Record Views
196 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#7 Affordable and Clean Energy

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Computer Science, Hardware & Architecture
Computer Science, Interdisciplinary Applications
Engineering, Electrical & Electronic
Logo image