ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments

SS Gill, S Tuli, AN Toosi, F Cuadrado… - Journal of Systems and …, 2020 - Elsevier
Current cloud computing frameworks host millions of physical servers that utilize cloud
computing resources in the form of different virtual machines. Cloud Data Center (CDC) …

Thermal prediction for efficient energy management of clouds using machine learning

S Ilager, K Ramamohanarao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Thermal management in the hyper-scale cloud data centers is a critical problem. Increased
host temperature creates hotspots which significantly increases cooling cost and affects …

Holistic thermal-aware workload management and infrastructure control for heterogeneous data centers using machine learning

SM MirhoseiniNejad, G Badawy, DG Down - Future Generation Computer …, 2021 - Elsevier
Two key contributors to the energy expenditure in data centers are information technology
(IT) equipment and cooling infrastructures. The standard practice of data centers lacks a tight …

Modeling and analysis of the thermal properties exhibited by cyberphysical data centers

SUR Malik, K Bilal, SU Khan, B Veeravalli… - IEEE Systems …, 2015 - ieeexplore.ieee.org
Data centers (DCs) contribute toward the prevalent application and adoption of the cloud by
providing architectural and operational foundation. To perform sustainable computation and …

Energy-efficient management of data center resources for cloud computing: a vision, architectural elements, and open challenges

R Buyya, A Beloglazov, J Abawajy - arXiv preprint arXiv:1006.0308, 2010 - arxiv.org
Cloud computing is offering utility-oriented IT services to users worldwide. Based on a pay-
as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and …

HUNTER: AI based holistic resource management for sustainable cloud computing

S Tuli, SS Gill, M Xu, P Garraghan, R Bahsoon… - Journal of Systems and …, 2022 - Elsevier
The worldwide adoption of cloud data centers (CDCs) has given rise to the ubiquitous
demand for hosting application services on the cloud. Further, contemporary data-intensive …

Towards thermal-aware workload distribution in cloud data centers based on failure models

J Li, Y Deng, Y Zhou, Z Zhang, G Min… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Increasing workload conditions lead to a significant surge in power consumption and
computing node failures in data centers. The existing workload distribution strategies …

A data-driven analysis of a cloud data center: statistical characterization of workload, energy and temperature

S Ilager, AN Toosi, MR Jha, I Brandic… - Proceedings of the IEEE …, 2023 - dl.acm.org
To efficiently manage large-scale cloud data centers, it is critical to understand data centers'
workload, energy, and thermal characteristics and their impact on the system through data …

Spatial and thermal aware methods for efficient workload management in distributed data centers

A Ali, Ö Özkasap - Future Generation Computer Systems, 2024 - Elsevier
Geographically distributed data centers provide facilities for users to fulfill the demand of
storage and computations, where most of the operational cost is due to electricity …

A power and thermal-aware virtual machine management framework based on machine learning

P Xiao, Z Ni, D Liu, Z Hu - Cluster Computing, 2021 - Springer
Energy consumption in data centers grows rapidly in recent years. As a widely-applied
energy-efficient method, workload consolidation also has its own limitations that may bring …