Utilization-aware energy-efficient virtual machine placement in cloud networks using NSGA-III meta-heuristic approach

E Parvizi, MH Rezvani - Cluster computing, 2020 - Springer
One of the most important issues in the context of cloud computing concerns the placement
of virtual machines (VMs). The purpose of multi-objective virtual machine placement (MO …

Performance enhancement of artificial intelligence: A survey

M Krichen, MS Abdalzaher - Journal of Network and Computer Applications, 2024 - Elsevier
The advent of machine learning (ML) and Artificial intelligence (AI) has brought about a
significant transformation across multiple industries, as it has facilitated the automation of …

A whale optimization system for energy-efficient container placement in data centers

A Al-Moalmi, J Luo, A Salah, K Li, L Yin - Expert Systems with Applications, 2021 - Elsevier
The recent popularity of the container-as-a-service (CaaS) paradigm in data centers and
with cloud providers increases the significance of the process of container deployment …

Intelligent SLA‐Aware VM Allocation and Energy Minimization Approach with EPO Algorithm for Cloud Computing Environment

JK Samriya, S Chandra Patel… - Mathematical …, 2021 - Wiley Online Library
Cloud computing is the most prominent established framework; it offers access to resources
and services based on large‐scale distributed processing. An intensive management …

Characterizing dynamic load balancing in cloud environments using virtual machine deployment models

M Liaqat, A Naveed, RL Ali, J Shuja, KM Ko - IEEE Access, 2019 - ieeexplore.ieee.org
The ever growing computational demands of users call for efficient cloud resource
management to avoid service-level agreement (SLA) violation. Virtualization co-locates …

A dynamic virtual machine resource consolidation strategy based on a gray model and improved discrete particle swarm optimization

Y Shao, Q Yang, Y Gu, Y Pan, Y Zhou, Z Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
With the continuous expansion of the scale of cloud datacenters, high energy consumption
has become a problem. Virtual machine (VM) consolidation is an effective method of energy …

Energy-efficient virtual machine placement in heterogeneous cloud data centers: a clustering-enhanced multi-objective, multi-reward reinforcement learning approach

A Ghasemi, A Keshavarzi - Cluster Computing, 2024 - Springer
Efficient virtual machine (VM) placement is vital for optimizing the performance of cloud data
centers. While recent studies have addressed this challenge, many have overlooked the …

Energy optimized container placement for cloud data centers: a meta-heuristic approach

A Katal, T Choudhury, S Dahiya - The Journal of Supercomputing, 2024 - Springer
The cloud-computing paradigm based on containers has progressively grown in recent
years as a flexible strategy that has proven to be energy efficient. The increasing usage of …

RETRACTED ARTICLE: SLA-aware load balancing using risk management framework in cloud

A Gupta, HS Bhadauria, A Singh - Journal of Ambient Intelligence and …, 2021 - Springer
In cloud computing environment, load balancing is an important task. So many of the
researchers had focused on load balanced scheduling technique. Those provides better …

Quantitative evaluation of data centers' participation in demand side management

MT Takcı, T Gözel, MH Hocaoğlu - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, the rapid increase in the number of internet users and widespread usage of
internet applications have obliged large servers and networking equipment to manage large …