Cloud continuum testbeds and next-generation ICTs: Trends, challenges, and perspectives
As society's dependence on Information and Communication Technologies (ICTs) grows,
providing efficient and resourceful services entails many complexities that require, among …
providing efficient and resourceful services entails many complexities that require, among …
A sensor predictive model for power consumption using machine learning
N Moocheet, B Jaumard, P Thibault… - 2023 IEEE 12th …, 2023 - ieeexplore.ieee.org
Reducing the power consumption of computing devices remains a challenge for the data
center industry. In 2022, it represents approximately 2% of global electricity consumption …
center industry. In 2022, it represents approximately 2% of global electricity consumption …
A tri-chromosome-based evolutionary algorithm for energy-efficient workflow scheduling in clouds
Y Xia, X Luo, T Jin, J Li, L Xing - Swarm and Evolutionary Computation, 2024 - Elsevier
Cloud computing is increasingly attracting workflow applications, where workflows need to
satisfy execution deadlines and energy consumption is to be minimized. So far, numerous …
satisfy execution deadlines and energy consumption is to be minimized. So far, numerous …
[HTML][HTML] Energy-aware intelligent scheduling for deadline-constrained workflows in sustainable cloud computing
M Cao, Y Li, X Wen, Y Zhao, J Zhu - Egyptian Informatics Journal, 2023 - Elsevier
It is challenging to handle the non-linear power consumption model, complex workflow
structures, and diverse user-defined deadlines for energy-efficient workflow scheduling in …
structures, and diverse user-defined deadlines for energy-efficient workflow scheduling in …
[PDF][PDF] Egyptian Informatics Journal
abstract Fast Flux Botnet (FFB) is an advance method developed by cyber criminals to
perpetrate distributed malicious attacks. The major problems of existing FFB detection …
perpetrate distributed malicious attacks. The major problems of existing FFB detection …
[PDF][PDF] Minimizing Energy Consumption in Data Centers Using Embedded Sensors and Machine Learning
N Moocheet - 2023 - spectrum.library.concordia.ca
Cloud Data Centers (DCs) consume extensive amounts of energy, making a significant
contribution to environmental concerns. Moreover, with the emergence of 5G and future B5G …
contribution to environmental concerns. Moreover, with the emergence of 5G and future B5G …
Machine Learning-based Energy Aware Placement of Container over Virtual Machines
RA Albuquerque - 2024 - spectrum.library.concordia.ca
The advent of 5G and the imminent arrival of Beyond 5G (B5G) have significantly increased
demands on service providers. This exponential growth poses a challenge for 5G networks …
demands on service providers. This exponential growth poses a challenge for 5G networks …