Adaptive computational solutions to energy efficiency in cloud computing environment using VM consolidation

B Magotra, D Malhotra, AK Dogra - Archives of computational methods in …, 2023 - Springer
Cloud Computing has emerged as a computing paradigm where services are provided
through the internet in recent years. Offering on-demand services has transformed the IT …

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 …

Minimization of latency using multitask scheduling in industrial autonomous systems

A Singhal, S Varshney… - Wireless …, 2022 - Wiley Online Library
Using enhanced ant colony optimization, this study proposes an efficient heuristic
scheduling technique for cloud infrastructure that addresses the issues with nonlinear loads …

Bio-inspired virtual machine placement schemes in cloud computing environment: taxonomy, review, and future research directions

M Masdari, S Gharehpasha, M Ghobaei-Arani… - Cluster …, 2020 - Springer
Energy efficiency is one of the important issues in green cloud data centers (DCs). In this
context, a virtual machine (VM) placement is one of the important techniques which can be …

Power efficient virtual machine placement in cloud data centers with a discrete and chaotic hybrid optimization algorithm

S Gharehpasha, M Masdari, A Jafarian - Cluster Computing, 2021 - Springer
Cloud computing is a new computation technology that provides services to consumers and
businesses. The main idea of Cloud computing is to present software and hardware services …

A discrete chaotic multi-objective SCA-ALO optimization algorithm for an optimal virtual machine placement in cloud data center

S Gharehpasha, M Masdari - Journal of Ambient Intelligence and …, 2021 - Springer
Cloud computing, with its immense potentials in low cost and on-demand services, is a
promising computing platform for both commercial and non-commercial computation …

LBPSGORA: create load balancing with particle swarm genetic optimization algorithm to improve resource allocation and energy consumption in clouds networks

SM Mirmohseni, A Javadpour… - … Problems in Engineering, 2021 - Wiley Online Library
Due to the purpose of this study that reducing power consumption in the cloud network is
based on load balancing, the fitness function measures the load balance between cloud …

A survey on the current challenges of energy-efficient cloud resources management

I Hamzaoui, B Duthil, V Courboulay, H Medromi - SN Computer Science, 2020 - Springer
Given the perpetual surging of cloud services' requests, energy consumption of cloud data
centers with their related CO 2 emissions still represents major issues. Efficient use of …

Fuzzy-logic-based multi-objective best-fit-decreasing virtual machine reallocation

K Braiki, H Youssef - The Journal of Supercomputing, 2020 - Springer
The virtual machine (VM) workload of a datacenter is dynamic, where the reallocation of a
subset of active VMs can result in better VM allocation by avoiding over-loaded/under …

Band-area resource management platform and accelerated particle swarm optimization algorithm for container deployment in Internet-of-Things cloud

M Ouyang, J **, W Bai, K Li - IEEE Access, 2022 - ieeexplore.ieee.org
The method of building and deploying applications through the combination of container
virtualization technology and a microservices framework has been widely used in Internet-of …