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 …
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
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 …
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
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 …
assigned with a specific load based on the cloud architecture and user demands. However …
Smart agriculture cloud using AI based techniques
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
distribute appropriate resources on demand is cloud computing. The process of optimizing …