Novel Power Usage Effectiveness Navigated Computing Task Assignment with Micro Data Center Empowered By ITU-T L.1307

This paper proposes Power Usage Effectiveness Navigated Computing Task Assignment (PUE-CTA), an algorithm optimizing energy consumption in micro data center powered edge computing networks. Addressing limitations in current research regarding User Terminal (UE) battery life, Computing Equipment (CE) status monitoring, and task overlapping, PUE-CTA offers four key solutions: battery-aware offloading for UEs, proximity-based resource allocation, periodic CE status checks, and mitigation of redundant computations. Numerical analysis demonstrates that PUE-CTA significantly reduces energy costs, increases operator revenue, and improves the average Energy Efficiency Indicator, particularly in large networks, proving its efficacy in optimizing edge computing energy efficiency.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/iucc65928.2024.00081
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Novel Power Usage Effectiveness Navigated Computing Task Assignment with Micro Data Center Empowered By ITU-T L.1307

Ye Ouyang, Lianhua Zhang, Lexi Xu, Shoufeng Wang et al.
IoT-based Smart Home Systems
article

Novel Power Usage Effectiveness Navigated Computing Task Assignment with Micro Data Center Empowered By ITU-T L.1307

Ye Ouyang, Lianhua Zhang, Lexi Xu, Shoufeng Wang, Limeng Ma, Fan Li, Xuan Chen, Jianchao Guo, Zhanwu Li
article en

Abstract

This paper proposes Power Usage Effectiveness Navigated Computing Task Assignment (PUE-CTA), an algorithm optimizing energy consumption in micro data center powered edge computing networks. Addressing limitations in current research regarding User Terminal (UE) battery life, Computing Equipment (CE) status monitoring, and task overlapping, PUE-CTA offers four key solutions: battery-aware offloading for UEs, proximity-based resource allocation, periodic CE status checks, and mitigation of redundant computations. Numerical analysis demonstrates that PUE-CTA significantly reduces energy costs, increases operator revenue, and improves the average Energy Efficiency Indicator, particularly in large networks, proving its efficacy in optimizing edge computing energy efficiency.

China United Network Communications Group (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
IoT-based Smart Home Systems
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