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 …

An empirical investigation of task scheduling and VM consolidation schemes in cloud environment

S Singh, R Kumar, D Singh - Computer Science Review, 2023 - Elsevier
Cloud computing has evolved as a new paradigm in Internet computing, offering services to
the end-users and large-organizations, on-demand and pay-per-the-usage basis with high …

Thermal-aware virtual machine placement based on multi-objective optimization

B Liu, R Chen, W Lin, W Wu, J Lin, K Li - The Journal of Supercomputing, 2023 - Springer
Abstract VMP (Virtual Machine Placement) is a crucial technology for energy consumption
optimization of the cloud data center. Existing works mainly focus on virtual machine …

MRA-VC: multiple resources aware virtual machine consolidation using particle swarm optimization

N Songara, MK Jain - International Journal of Information Technology, 2023 - Springer
The consolidation of virtual machines (VMs) in cloud data centres is an intriguing research
subject. The fundamental issue with VM consolidation solutions is the trade-off between …

Multi-resource predictive workload consolidation approach in virtualized environments

M Awad, A Leivadeas, A Awad - Computer Networks, 2023 - Elsevier
The revolution of virtualization technologies and Cloud computing solutions has
emphasized the need for energy-efficient and Service level agreement (SLA)-aware …

A dynamic energy conservation scheme with dual-rate adjustment and semi-sleep mode in cloud system

Y Cui, Y Zhang, X Li, S Jin - The Journal of Supercomputing, 2023 - Springer
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 Selection and Migration: Challenges and Future Directions

J Singh, NK Walia - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
Over the past ten years, cloud computing has significantly altered many aspects of human
life by providing access to hardware and software resources through the internet …

Enhancing Short‐Term Prediction of BDS‐3 Satellite Clock Bias Based with BSO Optimized BP Neural Network

S Ya, X Zhao, C Liu, J Chen, C Liu… - International Journal of …, 2022 - Wiley Online Library
The satellite clock bias (SCB) prediction plays an important role in high‐accuracy and real‐
time navigation and positioning. When predicting the SCB, the performance of the BP neural …

An Adaptive Beetle Swarm Optimization Algorithm with Novel Opposition-Based Learning

Q Wang, G Cheng, P Shao - Electronics, 2022 - mdpi.com
The Beetle Swarm Optimization (BSO) algorithm is a high-performance swarm intelligent
algorithm based on beetle behaviors. However, it suffers from poor search speeds and is …

HBWO-CML: An energy-efficient Hybrid Black Widow Optimisation and a Combined Machine Learning approach for VM Placement

S Goyal, LK Awasthi - 2023 - researchsquare.com
Cloud data centers remove the hardware barriers for the world with enormous storage and
computing capabilities and provide access from anywhere over the internet with the concept …