Live virtual machine migration: A survey, research challenges, and future directions

M Imran, M Ibrahim, MSU Din, MAU Rehman… - Computers and Electrical …, 2022 - Elsevier
In recent years, cloud computing has emerged as a promising paradigm providing various
resources in the Cloud Data Center (CDC), including computations, storage, and even …

Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021

A Ullah, NM Nawi, S Ouhame - Artificial intelligence review, 2022 - Springer
Cloud computing is new technology that has considerably changed human life at different
aspect over the last decade. Especially after the COVID-19 pandemic, almost all life activity …

A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center

D Saxena, AK Singh - Neurocomputing, 2021 - Elsevier
This work proposes an energy-efficient resource provisioning and allocation framework to
meet dynamic demands of the future applications. The frequent variations in a cloud user's …

Efficient cloud data center: An adaptive framework for dynamic Virtual Machine Consolidation

SM Rozehkhani, F Mahan, W Pedrycz - Journal of Network and Computer …, 2024 - Elsevier
Cloud computing is a thriving and ever-expanding sector in the industry world. This growth
has sparked increased interest from organizations seeking to harness its potential. However …

A survey on scheduling techniques in computing and network convergence

S Tang, Y Yu, H Wang, G Wang, W Chen… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …

Energy-efficient VM scheduling based on deep reinforcement learning

B Wang, F Liu, W Lin - Future Generation Computer Systems, 2021 - Elsevier
Achieving data center resource optimization and QoS guarantee driven by high energy
efficiency has become a research hotspot. However, QoS information directly sampled from …

[HTML][HTML] Energy-efficient load balancing algorithm for workflow scheduling in cloud data centers using queuing and thresholds

N Malik, M Sardaraz, M Tahir, B Shah, G Ali… - Applied Sciences, 2021 - mdpi.com
Cloud computing is a rapidly growing technology that has been implemented in various
fields in recent years, such as business, research, industry, and computing. Cloud …

MECpVmS: an SLA aware energy-efficient virtual machine selection policy for green cloud computing

R Mandal, MK Mondal, S Banerjee, G Srivastava… - Cluster …, 2023 - Springer
Cloud computing provides a service-oriented computing model to cloud users on a metered
basis. Most of the cloud data centers are running on fossil fuels. It elevates the carbon …

Machine learning for service migration: a survey

N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

Optimal load balancing in cloud: Introduction to hybrid optimization algorithm

P Geetha, SJ Vivekanandan, R Yogitha… - Expert Systems with …, 2024 - Elsevier
One of the leading-edge technologies that have made it possible to pay as you go and
distribute appropriate resources on demand is cloud computing. The process of optimizing …