A comprehensive review of cloud computing virtual machine consolidation

J Singh, NK Walia - IEEE Access, 2023 - ieeexplore.ieee.org
In the last decade, users have been able to access their applications, data, and services via
the cloud from any location with an internet connection. The scale of heterogeneous cloud …

Resource management in SDN-based cloud and SDN-based fog computing: taxonomy study

A Alomari, SK Subramaniam, N Samian, R Latip… - Symmetry, 2021 - mdpi.com
Software-defined networks (SDN) is an evolution in networking field where the data plane is
separated from the control plane and all the controlling and management tasks are …

Multi-factor nature inspired SLA-aware energy efficient resource management for cloud environments

S Bashir, S Mustafa, RW Ahmad, J Shuja, T Maqsood… - Cluster …, 2023 - Springer
Cloud computing provides different types of resources to users on-demand which are hosted
in cloud data centers. Aforesaid services are provided at the expense of large energy …

Fault tolerance aware workload resource management technique for real‐time workload in heterogeneous computing environment

DS Nayagi, GG Sivasankari, V Ravi… - Transactions on …, 2023 - Wiley Online Library
Workload execution is composed by map** larger tasks onto heterogeneous
environments such as cloud platforms for enhancing the efficiency of workload resource …

Critical review on resource scheduling in IaaS clouds: Taxonomy, issues, challenges, and future directions

SHH Madni, M Faheem, M Younas… - The Journal of …, 2024 - Wiley Online Library
In a cloud computing environment, the primary goal of resource scheduling is to reduce the
economic expenditures for cloud users and grow fiscal achievement for cloud providers. In …

An effective partition-based framework for virtual machine migration in cloud services

L Luo, S Wei, H Tang, C Wang - Cluster Computing, 2024 - Springer
As the scale of data centers continues to expand, optimizing resource utilization becomes
increasingly critical. Employing virtual machine (VM) migration technology to maintain hosts …

Knowledge graph representation learning: a comprehensive and experimental overview

D Sellami, W Inoubli, IR Farah, S Aridhi - Computer Science Review, 2025 - Elsevier
Abstract Knowledge graph embedding (KGE) is a hot topic in the field of Knowledge graphs
(KG). It aims to transform KG entities and relations into vector representations, facilitating …

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 …

Multiobjective Prioritized Workflow Scheduling in Cloud Computing Using Cuckoo Search Algorithm

B Sahu, SK Swain, S Mangalampalli… - Applied Bionics and …, 2023 - Wiley Online Library
Effective workflow scheduling in cloud computing is still a challenging problem as incoming
workflows to cloud console having variable task processing capacities and dependencies as …

Performance modeling for I/O‐intensive applications on virtual machines

T Bhattacharya, X Peng, J Mao, C Zhang… - Concurrency and …, 2022 - Wiley Online Library
Abstract Models for virtual machines running on cloud computing systems. Modeling system
behaviors of clouds is a grand challenge because the resource utilization in VMs is …