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

Lookup NU author(s): Dr Domenico Balsamo

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Abstract

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.10.1109/TCAD.2016.2547919

Publication metadata

Author(s): Balsamo D, Weddell AS, Das A, Rodriguez-Arreola A, Brunelli D, Al-Hashimi BM, Merrett GV, Benni L

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Year: 2016

Volume: 35

Issue: 12

Pages: 1968-1980

Print publication date: 01/12/2016

Online publication date: 29/03/2016

Acceptance date: 10/03/2016

ISSN (print): 0278-0070

ISSN (electronic): 1937-4151

Publisher: IEEE

URL: https://doi.org/10.1109/TCAD.2016.2547919

DOI: 10.1109/TCAD.2016.2547919

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