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Energy-driven systems and compute: Towards self-powered embedded computing systems

Energy-driven systems and compute: Towards self-powered embedded computing systems
Energy-driven systems and compute: Towards self-powered embedded computing systems
An energy harvester is a small part of a larger embedded system. Historically, such systems have typically been designed in the same way as their battery-powered systems, often adding significant complexity to make the harvester 'appear' to the load as if it were in fact a battery. In this talk, I will propose an alternative approach, that of energy-driven computing, where the design of applications and systems is rethought such that the energy environment is a key factor in the design process. I will illustrate this through two approaches: intermittent computing and power-neutral computing, highlighting the challenges and opportunities that they bring.
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020

Merrett, Geoff (2020) Energy-driven systems and compute: Towards self-powered embedded computing systems. International Green and Sustainable Computing Conference, , Virtual. 19 - 22 Oct 2020.

Record type: Conference or Workshop Item (Other)

Abstract

An energy harvester is a small part of a larger embedded system. Historically, such systems have typically been designed in the same way as their battery-powered systems, often adding significant complexity to make the harvester 'appear' to the load as if it were in fact a battery. In this talk, I will propose an alternative approach, that of energy-driven computing, where the design of applications and systems is rethought such that the energy environment is a key factor in the design process. I will illustrate this through two approaches: intermittent computing and power-neutral computing, highlighting the challenges and opportunities that they bring.

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Accepted/In Press date: 2 June 2020
e-pub ahead of print date: 20 October 2020
Venue - Dates: International Green and Sustainable Computing Conference, , Virtual, 2020-10-19 - 2020-10-22

Identifiers

Local EPrints ID: 444704
URI: http://eprints.soton.ac.uk/id/eprint/444704
PURE UUID: 631bb290-54a2-4530-8217-56fb78215a1b
ORCID for Geoff Merrett: ORCID iD orcid.org/0000-0003-4980-3894

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Date deposited: 30 Oct 2020 17:30
Last modified: 30 Oct 2020 17:30

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Author: Geoff Merrett ORCID iD

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