Multiobjective virtual machine placement mechanisms using nature‐inspired metaheuristic algorithms in cloud environments: A comprehensive review

N Donyagard Vahed… - International Journal of …, 2019 - Wiley Online Library
Cloud computing introduced a new paradigm in IT industry by providing on‐demand, elastic,
ubiquitous computing resources for users. In a virtualized cloud data center, there are a …

A survey and taxonomy on workload scheduling and resource provisioning in hybrid clouds

B Wang, C Wang, Y Song, J Cao, X Cui, L Zhang - Cluster Computing, 2020 - Springer
Hybrid cloud is a cost-efficient way to address the problem of insufficient resources for
meeting the peak demand of its users for a service provider, which elastically scales up or …

Investigating multi-feature selection and ensembling for audio classification

M Turab, T Kumar, M Bendechache, T Saber - arXiv preprint arXiv …, 2022 - arxiv.org
Deep Learning (DL) algorithms have shown impressive performance in diverse domains.
Among them, audio has attracted many researchers over the last couple of decades due to …

Power and resource-aware virtual machine placement for IaaS cloud

MK Gupta, A Jain, T Amgoth - Sustainable Computing: Informatics and …, 2018 - Elsevier
In the virtualization technology, cloud computing is a pool of abundant computing resources
and delivers on-demand Internet-based computing services. One of the challenging issues …

Metrics for improving the management of Cloud environments—Load balancing using measures of Quality of Service, Service Level Agreement Violations and energy …

SM Moghaddam, M O'Sullivan, CP Unsworth… - Future Generation …, 2021 - Elsevier
Cloud service providers use load balancing algorithms in order to avoid Service Level
Agreement Violations (SLAVs) and wasted energy consumption due to host over-and under …

A hybrid algorithm for multi-objective test case selection

T Saber, F Delavernhe, M Papadakis… - 2018 IEEE Congress …, 2018 - ieeexplore.ieee.org
Testing is crucial to ensure the quality of software systems-but testing is an expensive
process, so test managers try to minimise the set of tests to run to save computing resources …

A survey on the use of preferences for virtual machine placement in cloud data centers

A Alashaikh, E Alanazi, A Al-Fuqaha - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
With the rapid development of virtualization techniques, cloud data centers allow for cost-
effective, flexible, and customizable deployments of applications on virtualized infrastructure …

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 …

A machine learning application for reducing the security risks in hybrid cloud networks

D Praveena, P Rangarajan - Multimedia Tools and Applications, 2020 - Springer
Cloud computing facilitates the enormous support of the public, business and emerging
applications such as healthcare and nature disasters. Based on their services and …

Toward a correct and optimal time-aware cloud resource allocation to business processes

RB Halima, S Kallel, W Gaaloul, Z Maamar… - Future Generation …, 2020 - Elsevier
Cloud is an increasingly popular computing paradigm that provides on-demand services to
organizations for deploying their business processes over the Internet as it reduces their …