The uses of Internet of Things (IoT) devices and sensors have been increasing day by day.
In order to provide storage and computational needs for time-sensitive applications low …

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

In view of the constantly rising energy cost and increasingly stringent environmental
standards, improving energy efficiency and reducing carbon emission are the key to the …

Virtual machine (VM) consolidation is an effective way to improve resource utilization and
reduce energy consumption in cloud data centers. Most existing studies have considered …

The rapid growth and widespread adoption of cloud computing have led to significant
electricity costs and environmental impacts. Traditional approaches that rely on static …

The rapid growth of cloud computing has led to a significant increase in energy
consumption, which is a major concern for the environment and economy. To address this …

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

As increasingly complex functions are implemented in applications, directed acyclic graphs
(DAGs) are widely used to model the inter-dependencies between individual functions …

Cloud computing leads to efficient resource allocation for network users. In order to achieve
efficient allocation, many research activities have been conducted so far. Some researchers …

A difficult problem in the service‐oriented computing paradigm is improving task scheduler
policy or resource provisioning. In order to increase the performance of cloud applications …