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 …

A resource utilization prediction model for cloud data centers using evolutionary algorithms and machine learning techniques

S Malik, M Tahir, M Sardaraz, A Alourani - Applied Sciences, 2022 - mdpi.com
Cloud computing has revolutionized the modes of computing. With huge success and
diverse benefits, the paradigm faces several challenges as well. Power consumption …

An intelligent swarm based prediction approach for predicting cloud computing user resource needs

HA Kholidy - Computer Communications, 2020 - Elsevier
Cloud computing aimed at offering elastic resource allocation on demand to cloud
consumers. Building a cloud resource demand prediction model is a challenging task …

[HTML][HTML] Host utilization prediction using hybrid kernel based support vector regression in cloud data centers

P Nehra, A Nagaraju - Journal of King Saud University-Computer and …, 2022 - Elsevier
The rapid growth in the cloud data center needs a dynamic resource provision to maintain
the Quality of Services parameters. To guarantee it, Virtual Machine Migration as part of VM …

Workload prediction in cloud using artificial neural network and adaptive differential evolution

J Kumar, AK Singh - Future Generation Computer Systems, 2018 - Elsevier
Cloud computing has drastically transformed the means of computing in recent years. In
spite of numerous benefits, it suffers from some challenges too. Major challenges of cloud …

Predicting host CPU utilization in cloud computing using recurrent neural networks

M Duggan, K Mason, J Duggan… - 2017 12th …, 2017 - ieeexplore.ieee.org
One of the major challenges facing cloud computing is to accurately predict future resource
usage for future demands. Cloud resource consumption is constantly changing, which …

BHyPreC: a novel Bi-LSTM based hybrid recurrent neural network model to predict the CPU workload of cloud virtual machine

ME Karim, MMS Maswood, S Das, AG Alharbi - IEEE Access, 2021 - ieeexplore.ieee.org
With the advancement of cloud computing technologies, there is an ever-increasing demand
for the maximum utilization of cloud resources. It increases the computing power …

Predicting multi-attribute host resource utilization using support vector regression technique

L Abdullah, H Li, S Al-Jamali, A Al-Badwi… - Ieee Access, 2020 - ieeexplore.ieee.org
Studies on the resource workload demand in cloud computing environment aim at reducing
resource wastage by optimizing the resource utilization in a cloud data center. Based on this …

A learning automata-based ensemble resource usage prediction algorithm for cloud computing environment

AA Rahmanian, M Ghobaei-Arani, S Tofighy - Future Generation Computer …, 2018 - Elsevier
Infrastructure as a service (IaaS) providers are interested in increasing their profit by
gathering more and more customers besides providing more efficiency in cloud resource …

Resource usage cost optimization in cloud computing using machine learning

P Osypanka, P Nawrocki - IEEE Transactions on Cloud …, 2020 - ieeexplore.ieee.org
Cloud computing is gaining popularity among small and medium-sized enterprises. The cost
of cloud resources plays a significant role for these companies and this is why cloud …