Abstract Machine and deep learning are used worldwide. Machine Learning (ML) and Deep
Learning (DL) are playing an increasingly important role in the healthcare sector, particularly …

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

In an era of swift technical advancement, the confluence of digital technology, security, and
the digital economy bears substantial implications. This research aims to investigate the …

Cloud computing platform offers numerous applications and resources such as data storage,
databases, and network building. However, efficient task scheduling is crucial for …

In a Mobile Edge Computing (MEC) environment, latency and energy consumption can be
reduced by offloading tasks from mobile devices to Edge Servers (ESs) instead of remote …

Cloud computing has evolved as a new paradigm in Internet computing, offering services to
the end-users and large-organizations, on-demand and pay-per-the-usage basis with high …

Cloud computing has revolutionized the way businesses and organizations manage their
computational workloads. However, the massive data centers that support cloud services …

Cloud computing has become a standard and promising distributed computing framework
for the provision of on-demand computing resources and pay-per-use concepts. Operations …

This study introduces Virtual Machine (VM) Consolidation using a Transformer-based Deep
Reinforcement Learning (DRL) method, to address the complexity and inefficiency in …

Abstract Virtual Machine Consolidation (VMC) in cloud computing refers to the process of
optimizing resource utilization by consolidating multiple Virtual Machines (VMs) onto fewer …