Machine learning (ML)-centric resource management in cloud computing: A review and future directions

T Khan, W Tian, G Zhou, S Ilager, M Gong… - Journal of Network and …, 2022 - Elsevier
Cloud computing has rapidly emerged as a model for delivering Internet-based utility
computing services. Infrastructure as a Service (IaaS) is one of the most important and …

Green machine learning for green cloud energy efficiency

MB Hassan, RA Saeed, O Khalifa, ES Ali… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
The efficiency of energy in cloud computing (CC) is one of the critical and vital parameters
for large server-based networks due to CC consuming a great amount of energy and the …

Efficient resource management in cloud environment

SR Swain, AK Singh, CN Lee - arXiv preprint arXiv:2207.12085, 2022 - arxiv.org
In cloud computing resource management plays a significant role in data centres and it is
directly dependent on the application workload. Various services such as Infrastructure as a …

[HTML][HTML] Machine-learning-based approach for virtual machine allocation and migration

S Talwani, J Singla, G Mathur, N Malik, NZ Jhanjhi… - Electronics, 2022 - mdpi.com
Due to its ability to supply reliable, robust and scalable computational power, cloud
computing is becoming increasingly popular in industry, government, and academia. High …

Multiobjective computation offloading for workflow management in cloudlet‐based mobile cloud using NSGA‐II

X Xu, S Fu, Y Yuan, Y Luo, L Qi, W Lin… - Computational …, 2019 - Wiley Online Library
Cloudlet is a novel computing paradigm, introduced to the mobile cloud service framework,
which moves the computing resources closer to the mobile users, aiming to alleviate the …

Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment

J Kumar, AK Singh - Applied Soft Computing, 2021 - Elsevier
The smooth operation of a cloud data center along with the best user experience is one of
the prime objectives of a resource management scheme that must be achieved at low cost in …

Energy consumption analysis of Virtual Machine migration in cloud using hybrid swarm optimization (ABC–BA)

K Karthikeyan, R Sunder, K Shankar… - The Journal of …, 2020 - Springer
A cloud data center consumes more energy for computation and switching servers between
modes. Virtual Machine (VM) migration enhances the execution of cloud server farm in terms …

An energy-efficient dynamic resource management approach based on clustering and meta-heuristic algorithms in cloud computing IaaS platforms: Energy efficient …

M Askarizade Haghighi, M Maeen… - Wireless Personal …, 2019 - Springer
Cloud computing as an emerging technology, has revolutionized the information technology
industry by elastic on-demand provisioning and De-provisioning of computing resources …

An artificial neural network based approach for energy efficient task scheduling in cloud data centers

M Sharma, R Garg - Sustainable Computing: Informatics and Systems, 2020 - Elsevier
Energy efficiency is considered as a crucial objective in cloud data centers as it reduces cost
and meets the standard set in green computing. Task scheduling an important problem …

An improved in tasks allocation system for virtual machines in cloud computing using HBAC algorithm

A Ullah, NM Nawi - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Cloud technology is a utility where different hardware and software resources are accessed
on pay-per-user ground base. Most of these resources are available in virtualized form and …