A systematic review of green-aware management techniques for sustainable data center

W Lin, J Lin, Z Peng, H Huang, W Lin, K Li - … Computing: Informatics and …, 2024 - Elsevier
Cloud computing is one of the powerful engines driving global industrial upgrading and the
booming digital economy. However, the explosive growth of cloud data centers (DCs) has …

Enough hot air: the role of immersion cooling

K Haghshenas, B Setz, Y Blosch, M Aiello - Energy Informatics, 2023 - Springer
Air cooling is the traditional solution to chill servers in data centers. However, the continuous
increase in global data center energy consumption combined with the increase of the racks' …

Performance evaluation and optimization of data center servers using single-phase immersion cooling

H Wang, X Yuan, K Zhang, X Lang, H Chen… - International Journal of …, 2024 - Elsevier
This paper conducts a comprehensive performance evaluation and optimization of single-
phase immersion cooling (SPIC) systems to address challenges in data center server …

Spatio-temporal management of renewable energy consumption, carbon emissions, and cost in data centers

D Chen, Y Ma, L Wang, M Yao - Sustainable Computing: Informatics and …, 2024 - Elsevier
Under the background of" carbon neutrality", data center enterprises are confronted with the
challenges of high energy costs and the need to manage carbon emissions. Compared with …

Carbon emission-aware job scheduling for Kubernetes deployments

T Piontek, K Haghshenas, M Aiello - The Journal of Supercomputing, 2024 - Springer
Decreasing carbon emissions of data centers while guaranteeing Quality of Service (QoS) is
one of the major challenges for efficient resource management of large-scale cloud …

Server temperature prediction using deep neural networks to assist thermal-aware scheduling

S Akbar, R Li, M Waqas, A Jan - Sustainable Computing: Informatics and …, 2022 - Elsevier
Thermal-Aware (TA) scheduling is a primitive thermal-management tool to avoid hotspots
and attain a better thermal profile inside data centers. However, TA scheduling depends on …

EEPSA: Energy efficiency priority scheduling algorithm for cloud computing

S Simaiya, V Gautam, UK Lilhore… - … conference on smart …, 2021 - ieeexplore.ieee.org
Cloud computing technology is a prominent technique among available techniques for
deploying and allocating computing resources across applications. Due to digitalization the …

CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads

K Haghshenas, B Setz, M Aiello - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Machine Learning (ML) training is a growing workload in high-performance computing
clusters and data centers; furthermore, it is computationally intensive and requires …

Multi-data center tie-line power smoothing method based on demand response

T Yang, Y Hou, S Cai, J Yu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Geographically distributed data centers (DCs) have emerged as significant energy
consumers, which has led to the integration of renewable energy sources (RES) into DC …

Power allocation and energy cost minimization in cloud data centers microgrids: a two-stage optimization approach

MA Benblidia, B Brik, M Esseghir… - IEEE …, 2022 - ieeexplore.ieee.org
Data centers are becoming an important asset in today's connected and intelligent world.
Indeed, with the emergence of networks, the growth of Internet of Things (IoT) and cloud …