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

In: Advances and New Trends in Environmental Informatics

Author

Listed:
  • Achim Guldner

    (Trier University of Applied Sciences)

  • Julien Murach

    (Trier University of Applied Sciences)

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.

Suggested Citation

  • Achim Guldner & Julien Murach, 2023. "Measuring and Assessing the Resource and Energy Efficiency of Artificial Intelligence of Things Devices and Algorithms," Progress in IS, in: Volker Wohlgemuth & Stefan Naumann & Grit Behrens & Hans-Knud Arndt & Maximilian Höb (ed.), Advances and New Trends in Environmental Informatics, pages 185-199, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-18311-9_11
    DOI: 10.1007/978-3-031-18311-9_11
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