A belief rule based expert system for datacenter PUE prediction under uncertainty

MS Hossain, S Rahaman, AL Kor… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
A rapidly emerging trend in the IT landscape is the uptake of large-scale datacenters moving
storage and data processing to providers located far away from the end-users or locally …

[HTML][HTML] Capacity management of hyperscale data centers using predictive modelling

RU Islam, X Ruci, MS Hossain, K Andersson, AL Kor - Energies, 2019 - mdpi.com
Big Data applications have become increasingly popular with the emergence of cloud
computing and the explosion of artificial intelligence. The increasing adoption of data …

Forecasting power-efficiency related key performance indicators for modern data centers using LSTMs

H Shoukourian, D Kranzlmüller - Future Generation Computer Systems, 2020 - Elsevier
Modern HPC and cloud data centers, being mission critical facilities, continue to grow in size
and number as the amount of Internet and cloud-based services increases. Moreover, the …

[PDF][PDF] Power consumption prediction in cloud data center using machine learning

T Deepika, P Prakash - Int. J. Electr. Comput. Eng.(IJECE), 2020 - core.ac.uk
The flourishing development of the cloud computing paradigm provides several services in
the industrial business world. Power consumption by cloud data centers is one of the crucial …

Latency-based analytic approach to forecast cloud workload trend for sustainable datacenters

Y Lu, L Liu, J Panneerselvam, X Zhai… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Cloud datacenters are turning out to be massive energy consumers and environment
polluters, which necessitate the need for promoting sustainable computing approaches for …

Deep machine learning-based power usage effectiveness prediction for sustainable cloud infrastructures

HA Ounifi, A Gherbi, N Kara - Sustainable Energy Technologies and …, 2022 - Elsevier
The expansion of online services, the advent of big data, and the development of Internet of
Things (IoT) technology have led to an exponential growth in the number of data centers …

Using machine learning for data center cooling infrastructure efficiency prediction

H Shoukourian, T Wilde, D Labrenz… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Power consumption continues to remain a critical aspect for High Performance Computing
(HPC) data centers. It becomes even more crucial for Exascale computing since scaling …

[HTML][HTML] Learning-based power prediction for geo-distributed Data Centers: weather parameter analysis

S Taheri, M Goudarzi, O Yoshie - Journal of Big Data, 2020 - Springer
Nowadays, the fast rate of technological advances, such as cloud computing, has led to the
rapid growth of the Data Center (DC) market as well as their power consumption. Therefore …

An artificial neural network approach to power consumption model construction for servers in cloud data centers

W Lin, G Wu, X Wang, K Li - IEEE Transactions on Sustainable …, 2019 - ieeexplore.ieee.org
The power consumption estimation or prediction of cloud servers is the basis of energy-
aware scheduling to realize energy saving in cloud datacenters. The existing works are …

Predicting host CPU utilization in the cloud using evolutionary neural networks

K Mason, M Duggan, E Barrett, J Duggan… - Future Generation …, 2018 - Elsevier
Abstract The Infrastructure as a Service (IaaS) platform in cloud computing provides
resources as a service from a pool of compute, network, and storage resources. One of the …