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 …

Region aware dynamic task scheduling and resource virtualization for load balancing in IoT–fog multi-cloud environment

AB Kanbar, K Faraj - Future Generation Computer Systems, 2022 - Elsevier
Cloud computing is an emerging technology for a large-scale environment. Hence it faces
many challenges in which the main problem of cloud computing is load balancing which …

[HTML][HTML] Mantaray modified multi-objective Harris hawk optimization algorithm expedites optimal load balancing in cloud computing

M Haris, S Zubair - Journal of King Saud University-Computer and …, 2022 - Elsevier
Task scheduling in the cloud is a difficult optimization challenge. The cloud system is
assigned with a specific load based on the cloud architecture and user demands. However …

Smart agriculture cloud using AI based techniques

M Junaid, A Shaikh, MU Hassan, A Alghamdi, K Rajab… - Energies, 2021 - mdpi.com
This research proposes a generic smart cloud-based system in order to accommodate
multiple scenarios where agriculture farms using Internet of Things (IoTs) need to be …

Deep learning-based resource prediction and mutated leader algorithm enabled load balancing in fog computing

G Shruthi, MR Mundada, S Supreeth… - International Journal of …, 2023 - pure.ulster.ac.uk
Load balancing plays a major part in improving the performance of fog computing, which
has become a requirement in fog layer for distributing all workload in equal manner amongst …

Multi-objective cloud load-balancing with hybrid optimization

K Geeta, V Kamakshi Prasad - International Journal of Computers …, 2023 - Taylor & Francis
In this study, the cloud computing platform is equipped with a hybrid multi-objective meta-
heuristic optimization-based load balancing model. Physical Machine (PM) allocates a …

An optimization model for task scheduling in mobile cloud computing

R Alakbarov - International Journal of Cloud Applications and …, 2022 - igi-global.com
The rapid increase in the number of mobile users in mobile cloud computing (MCC), the
cloud servers' remoteness, and the Internet loading have caused significant delays in the …

An optimized load balancing strategy for an enhancement of cloud computing environment

P Neelakantan, NS Yadav - Wireless Personal Communications, 2023 - Springer
In cloud computing for effective communication, load balancing is one of the foremost
challenges because cloud infrastructure has attained certain load conditions that cause …

CA‐MLBS: content‐aware machine learning based load balancing scheduler in the cloud environment

M Adil, S Nabi, M Aleem, VG Diaz, JCW Lin - Expert Systems, 2023 - Wiley Online Library
Cloud computing is the on‐demand provision of computing resources over the Internet, such
as cloud storage, computing power, network, and so on. Cloud computing has several …

Optimal load balancing in cloud: Introduction to hybrid optimization algorithm

P Geetha, SJ Vivekanandan, R Yogitha… - Expert Systems with …, 2024 - Elsevier
One of the leading-edge technologies that have made it possible to pay as you go and
distribute appropriate resources on demand is cloud computing. The process of optimizing …