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 …

A systematic review of energy management strategies for resource allocation in the cloud: Clustering, optimization and machine learning

S Jayaprakash, MD Nagarajan, RP Prado… - Energies, 2021 - mdpi.com
Nowadays, many organizations and individual users are employing cloud services
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …

[HTML][HTML] An ensemble agglomerative hierarchical clustering algorithm based on clusters clustering technique and the novel similarity measurement

T Li, A Rezaeipanah, ESMT El Din - … of King Saud University-Computer and …, 2022 - Elsevier
The advent of architectures such as the Internet of Things (IoT) has led to the dramatic
growth of data and the production of big data. Managing this often-unlabeled data is a big …

An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach

A Shakarami, A Shahidinejad… - Journal of Network and …, 2021 - Elsevier
The fast growth of under developing internet-based technologies has been leading to
propose promising methods to handle the heterogeneous massive volume of data produced …

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 …

The role of renewable energy sources and industry 4.0 focus for Africa: a review

K Ukoba, TJ Kunene, P Harmse, VT Lukong… - Applied Sciences, 2023 - mdpi.com
The fourth industrial revolution presents an upspring opportunity for the African continent to
adopt technologies such as artificial intelligence, big data, internet-enabled industrial …

Autonomous computation offloading and auto-scaling the in the mobile fog computing: a deep reinforcement learning-based approach

F Jazayeri, A Shahidinejad… - Journal of Ambient …, 2021 - Springer
Abstract The Fog Computing (FC) paradigm is rapidly becoming an appropriate framework
for the infrastructure related to the Internet of Things (IoT). FC can be a good framework for …

Joint computation offloading and resource provisioning for e dge‐cloud computing environment: A machine learning‐based approach

A Shahidinejad… - Software: Practice and …, 2020 - Wiley Online Library
In recent years, the usage of smart mobile applications to facilitate day‐to‐day activities in
various domains for enhancing the quality of human life has increased widely. With rapid …

[HTML][HTML] A dynamic planning model for deploying service functions chain in fog-cloud computing

Y Zhang, F Zhang, S Tong, A Rezaeipanah - Journal of King Saud …, 2022 - Elsevier
Fog computing allows services to be deployed on computing resources at the edge of the
network to address the limitations of centralized cloud systems. However, the adoption of fog …

Data replication schemes in cloud computing: a survey

A Shakarami, M Ghobaei-Arani, A Shahidinejad… - Cluster …, 2021 - Springer
In recent years, cloud storage systems have emerged as a promising technology for storing
data blocks on various cloud servers. One of the main mechanisms in cloud storage systems …