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 …
A survey of swarm intelligence based load balancing techniques in cloud computing environment
Cloud computing offers flexible, interactive, and observable access to shared resources on
the Internet. It frees users from the requirements of managing computing on their hardware. It …
the Internet. It frees users from the requirements of managing computing on their hardware. It …
[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 …
Optimization of load balancing and task scheduling in cloud computing environments using artificial neural networks-based binary particle swarm optimization (BPSO)
MI Alghamdi - Sustainability, 2022 - mdpi.com
As more people utilize the cloud, more employment opportunities become available. With
constraints such as a limited make-span, a high utilization rate of available resources …
constraints such as a limited make-span, a high utilization rate of available resources …
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 …
Modeling an optimized approach for load balancing in cloud
Despite significant infrastructure improvements, cloud computing still faces numerous
challenges in terms of load balancing. Several techniques have been applied in the …
challenges in terms of load balancing. Several techniques have been applied in the …
Region-aware dynamic job scheduling and resource efficiency for load balancing based on adaptive chaotic sparrow search optimization and coalitional game in …
MI Khaleel - Journal of Network and Computer Applications, 2024 - Elsevier
Uneven distribution of workloads represents a significant challenge in cloud data centers,
negatively impacting the efficient utilization of resources. To address this problem and …
negatively impacting the efficient utilization of resources. To address this problem and …
Load balancing in cloud computing via intelligent PSO-based feedback controller
Load balancing effectively distributes network load and balances the load during the
scheduling and allocation process. Hence various load balancing techniques in task …
scheduling and allocation process. Hence various load balancing techniques in task …
Cloud computing and networking for SmartFarm AgriTech
In this paper, the implementation of SmartFarm AgriTech is done using IoT and cloud
computing. The current world population is 7.9 billion and supposed to reach 12 billion by …
computing. The current world population is 7.9 billion and supposed to reach 12 billion by …
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 …