Striking Trade-off Between High Performance and Energy Efficiency in an Edge Computing Application for Detecting Floating Plastic Debris
Pages 51 - 58
Abstract
The Edge Computing environments facilitate the creation of pervasive applications distributed across vast geographical regions, addressing particular challenges associated with centralized information processing, such as network bandwidth saturation and the requirement for extensive computing infrastructures. However, the performance of edge nodes is not comparable to that of high-end servers. Consequently, researchers must adopt specific methodologies to account for the influence of the computing environment on application development. The present study introduces an application to detect floating plastic debris using low-power and high-performance edge computing devices. The primary objective is to establish a methodology for achieving an optimal balance between performance and energy consumption. The applications were validated using a Nvidia Jetson Nano sensor board, demonstrating favorable accuracy, effectiveness, and reduced energy consumption.
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Index Terms
- Striking Trade-off Between High Performance and Energy Efficiency in an Edge Computing Application for Detecting Floating Plastic Debris
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Published In
June 2024
64 pages
ISBN:9798400706417
DOI:10.1145/3659994
- General Chairs:
- Massimo Coppola,
- Hanna Kavalionak,
- Luca Ferrucci,
- Ioannis Kontopoulos
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 July 2024
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- Research-article
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- PRIN-PNRR 2022 project STRUDEL
- National Center for HPC, Big Data, and Quantum Computing
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FRAME '24
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FRAME '24: 4th Workshop on Flexible Resource and Application Management on the Edge
June 3 - 7, 2024
Pisa, Italy
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