Energy consumption in microservices architectures: a systematic literature review

G Araújo, V Barbosa, LN Lima, A Sabino, C Brito… - IEEE …, 2024 - ieeexplore.ieee.org
Cloud computing emerges as a paradigm that facilitates on-demand access to technological
resources through the mechanism of service virtualization. This virtualization enables the …

Dynamics of research into modeling the power consumption of virtual entities used in the telco cloud

EV Depasquale, F Davoli, H Rajput - Sensors, 2022 - mdpi.com
This article is a graphical, analytical survey of the literature, over the period 2010–2020, on
the measurement of power consumption and relevant power models of virtual entities as …

Machine learning combined with electrochemical sensor for rapid detection of Sudan Red I in food

X Sun, F Liu, X Xue - Journal of Food Measurement and Characterization, 2024 - Springer
Ensuring food safety necessitates rapid and reliable food contaminant detection methods.
Here, we present a novel approach that integrates electrochemical sensors with machine …

Advancing cloud sustainability: A versatile framework for container power model training

S Choochotkaew, C Wang, H Chen… - … , and Simulation of …, 2023 - ieeexplore.ieee.org
Estimating power consumption in modern Cloud is important to account for the power
consumed by each container. The challenge is that multiple customers are sharing the same …

Phoeni6: a Systematic Approach for Evaluating the Energy Consumption of Neural Networks

A Oliveira-Filho, W Silva-de-Souza… - arxiv preprint arxiv …, 2025 - arxiv.org
This paper presents Phoeni6, a systematic approach for assessing the energy consumption
of neural networks while upholding the principles of fair comparison and reproducibility …

[HTML][HTML] Analytical Energy Model Parametrized by Workload, Clock Frequency and Number of Active Cores for Share-Memory High-Performance Computing …

VRG Silva, C Valderrama, P Manneback… - Energies, 2022 - mdpi.com
Energy consumption is crucial in high-performance computing (HPC), especially to enable
the next exascale generation. Hence, modern systems implement various hardware and …

A Robust Power Model Training Framework for Cloud Native Runtime Energy Metric Exporter

S Choochotkaew, C Wang, H Chen, T Chiba… - arxiv preprint arxiv …, 2024 - arxiv.org
Estimating power consumption in modern Cloud environments is essential for carbon
quantification toward green computing. Specifically, it is important to properly account for the …

[HTML][HTML] Methodology for Power-Performance Trade-Off Management in Real-Time Embedded Applications

I Popović, S Janković - Electronics, 2022 - mdpi.com
An increasing number of battery-powered devices that are used outdoors or in mobile
systems put emphasis on the power and energy efficiency as a form of trade-off between …

Carbon Footprint Monitoring up to Container-Level in Virtualized Environments: A Hardware and Hypervisor-Free Approach

T Pol - 2024 - fse.studenttheses.ub.rug.nl
The popularity of cloud computing and the increasing demand for computing resources have
led to a significant increase in energy consumption. In 2015, the electricity consumed by …

Understanding Energy Performance of Containers Deployment on HPC-Based post-Moore Platforms

PJ Rojas Yepes, CJ Barrios Hernandez… - Proceedings of the SC' …, 2023 - dl.acm.org
HPC platforms seek to ensure peak computing performance with minimal energy cost
searching sustainability. Considering different cases of use and implementation, both post …