Heterogeneous distributed computing systems are the emerging for executing scientific and
computationally intensive applications. Cloud computing in this context describes a …

The advent of the cloud computing paradigm allowed multiple organizations to move,
compute, and host their applications in the cloud environment, enabling seamless access to …

Scheduling of tasks in cloud computing is an NP-hard optimization problem. Load balancing
of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of …

Cloud computing is a system that allows data to be saved in the cloud on a virtual worker.
Outsiders and virtual machines in the cloud worker supplier played a critical part in efficiently …

Applying the load balancing technique to allocate requests that dynamically enter the cloud
environment is contributive in maintaining the system stability, reducing the response time …

The advent of the cloud computing paradigm has enabled innumerable organizations to
seamlessly migrate, compute, and host their applications within the cloud environment …

Datacenters receive dynamic workloads with disparate specifications to be scheduled on
virtual machines (VMs). These unpredictable, alarmingly growing workloads with varying …

This book chapter proposes use of Ant Colony Optimization (ACO), a novel computational
intelligence technique for balancing loads of virtual machine in cloud computing …

In recent days, due to the rapid technological advancements, the Grid computing has
become an important area of research. Grid computing has emerged a new field …

In the recent era of cloud computing, the huge demand for virtual resource provisioning
requires mitigating the challenges of uniform load distribution as well as efficient resource …