With the increasing of the scale of task or request and dynamic nature of cloud resources, it
gives significant issues of load balancing, resource utilization, task allocation, and system …

Background This review focuses on reviewing the recent publications of swarm intelligence
algorithms (particle swarm optimization (PSO), ant colony optimization (ACO), artificial bee …

Despite the many past research conducted in the Cloud Computing field, some challenges
still exist related to workload balancing in cloud-based applications and specifically in the …

The job scheduling paradigms include dispatching Internet of Things (IoT) critical services
onto processing nodes. Here most energy is consumed in finding suitable virtual machines …

Load balancing techniques in cloud computing can be applied at three different levels:
Virtual machine load balancing, task load balancing, and resource load balancing. At all …

Abstract The Internet of Things (IoT) is a network of connected objects designed to collect
and exchange data using smart equipment and technologies. A significant challenge in …

Now more than ever, optimizing resource allocation in cloud computing is becoming more
critical due to the growth of cloud computing consumers and meeting the computing …

Providing scalable and affordable computing resources has become possible thanks to the
development of the cloud computing concept. In cloud environments, efficient task …

Machine learning and parallel processing are extremely commonly used to enhance
computing power to induce knowledge from an outsized volume of data. To deal with the …

IoT is one of the most important technologies that are used over the past few years, where
everything is connected to the Internet; it is used in many fields; one of these fields is …