Measuring and Assessing the Resource and Energy Efficiency of Artificial Intelligence of Things Devices and Algorithms

Achim Guldner () and Julien Murach ()
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Achim Guldner: Trier University of Applied Sciences
Julien Murach: Trier University of Applied Sciences

A chapter in Advances and New Trends in Environmental Informatics, 2023, pp 185-199 from Springer

Abstract: Abstract Artificial Intelligence (AI), the Internet of Things (IoT) and digitization are very influential topics in current times, changing many areas in which they are applied. The combination of AI and IoT (Artificial intelligence of things—AIoT) has already showed many useful applications and opportunities in many industries and other fields, like ecology, disaster management, and the society. Over the past decade, the idea has gained attention that not only computer hardware consumes resources (raw materials and energy) over its life cycle, but software also significantly contributes to the footprint of these systems, since it triggers their production, usage, and eventual disposal and renewal. To counter this consumption, it is necessary to have appropriate tools to assess it first. Therefore, in this paper, we extend upon existing methods for the measurement, assessment, and eventual optimization of software, regarding their resource- and energy efficiency and apply them to the field of AIoT-based systems.

Keywords: Artificial intelligence; Internet of things; Energy consumption; Resource consumption (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-18311-9_11

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DOI: 10.1007/978-3-031-18311-9_11

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