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 …

VMP-A3C: virtual machines placement in cloud computing based on asynchronous advantage actor-critic algorithm

P Wei, Y Zeng, B Yan, J Zhou, E Nikougoftar - Journal of King Saud …, 2023 - Elsevier
Virtualization technology represented through Virtual Machines (VMs) is recognized as a
key infrastructure in cloud computing. This technology is developing rapidly and cloud data …

Intent-driven orchestration of serverless applications in the computing continuum

N Filinis, I Tzanettis, D Spatharakis… - Future Generation …, 2024 - Elsevier
Following the emergence of Internet of Things (IoT) and edge computing technologies and
the development of distributed applications with strict Quality of Service (QoS) requirements …

Automated cloud resources provisioning with the use of the proximal policy optimization

W Funika, P Koperek, J Kitowski - The Journal of Supercomputing, 2023 - Springer
Many modern applications, both scientific and commercial, are deployed to cloud
environments and often employ multiple types of resources. That allows them to efficiently …

An efficient virtual machine consolidation algorithm for cloud computing

L Yuan, Z Wang, P Sun, Y Wei - Entropy, 2023 - mdpi.com
With the rapid development of integration in blockchain and IoT, virtual machine
consolidation (VMC) has become a heated topic because it can effectively improve the …

Multi-resource management using an advanced scheduling algorithm to the least amount of time

S Shakya, P Tripathi - International Journal of Information Technology, 2024 - Springer
The scheduling of appropriate resources for cloud workloads is a difficult task, as it depends
on the quality of service needs of cloud applications. Due to their limited data storage and …

Energy-efficient joint task assignment and migration in data centers: A deep reinforcement learning approach

J Lou, Z Tang, W Jia - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
Energy-efficient task scheduling in data centers is a critical issue and has drawn wide
attention. However, the task execution times are mixed and hard to estimate in a real-world …

Krill Herd Algorithm for Live Virtual Machines Migration in Cloud Environments

H Cao, Z Hou - … Journal of Advanced Computer Science and …, 2023 - search.proquest.com
Green cloud computing is a modern approach that provides pay-per-use information and
communication technologies with a minimal carbon footprint. Cloud computing enables …

Intelligent Resource Orchestration for 5G Edge Infrastructures

R Moreno-Vozmediano, RS Montero, E Huedo… - Future Internet, 2024 - mdpi.com
The adoption of edge infrastructure in 5G environments stands out as a transformative
technology aimed at meeting the increasing demands of latency-sensitive and data …

RLPRAF: Reinforcement Learning-based Proactive Resource Allocation Framework for Resource Provisioning in Cloud Environment

R Panwar, M Supriya - IEEE Access, 2024 - ieeexplore.ieee.org
Recent developments in cloud technology enable one to dynamically deploy heterogeneous
resources as and when needed. This dynamic nature of the incoming workload causes …