Results 51 to 60 of about 2,986 (197)

Temperature and energy-aware consolidation algorithms in cloud computing

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2019
Cloud computing provides access to shared resources through Internet. It provides facilities such as broad access, scalability and cost savings for users. However, cloud data centers consume a significant amount of energy because of inefficient resources
Maede Yavari   +2 more
doaj   +1 more source

An Energy Aware Unified Ant Colony System for Dynamic Virtual Machine Placement in Cloud Computing

open access: yesEnergies, 2017
Energy efficiency is a significant topic in cloud computing. Dynamic consolidation of virtual machines (VMs) with live migration is an important method to reduce energy consumption.
Xiao-Fang Liu, Zhi-Hui Zhan, Jun Zhang
doaj   +1 more source

A Comprehensive Review of Cloud Computing Virtual Machine Consolidation

open access: yesIEEE Access, 2023
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.
Jaspreet Singh, Navpreet Kaur Walia
doaj   +1 more source

Host Overloading Detection pada Dynamic VM Consolidation Menggunakan Fuzzy Mamdani

open access: yes, 2018
Perkembangan Cloud Computing telah mengakibatkan pembangunan data center skala besar di seluruh dunia yang berisi ribuan node. Data Center Cloud mengkonsumsi energi listrik yang besar yang tentunya mengakibatkan biaya operasi yang tinggi. Konsumsi energi
Guruh Fajar Shidik, Chaerul Umam
core   +1 more source

Low SLA violation and Low Energy consumption using VM Consolidation in Green Cloud Data Centers [PDF]

open access: yes, 2020
Virtual Machines (VM) consolidation is an efficient way towards energy conservation in cloud data centers. The VM consolidation technique is applied to migrate VMs into lesser number of active Physical Machines (PMs), so that the PMs which have no VMs ...
CHOU, Hung-Pu, Chou, Hong-fu
core  

BHyPreC: A Novel Bi-LSTM Based Hybrid Recurrent Neural Network Model to Predict the CPU Workload of Cloud Virtual Machine

open access: yesIEEE Access, 2021
With the advancement of cloud computing technologies, there is an ever-increasing demand for the maximum utilization of cloud resources. It increases the computing power consumption of the cloud’s systems.
Md. Ebtidaul Karim   +3 more
doaj   +1 more source

A Cost Effective and Energy Efficient Algorithm for Cloud Computing

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2022
Cloud-Computing offers high performance solution to solve complex engineering and scientific tasks by deploying resources at geo-diverse locations. With the large-scale demand of scientific and engineering jobs, huge number of cloud data centres needs to
Priyanka Vashisht, Vijay Kumar
doaj   +1 more source

EEVMC: An Energy Efficient Virtual Machine Consolidation Approach for Cloud Data Centers

open access: yesIEEE Access
The dynamic landscape of cloud computing design presents significant challenges regarding power consumption and quality of service (QoS). Virtual machine (VM) consolidation is essential for reducing power usage and enhancing QoS by relocating VMs between
Attique Ur Rehman   +6 more
doaj   +1 more source

Energy-Aware Dynamic Virtual Machine Consolidation for Cloud Datacenters

open access: yesIEEE Access, 2018
Resource over provisioning in cloud computing consumes energy excessively. Energy-aware dynamic virtual machine consolidation (DVMC) reduces energy consumption without compromising service level agreement. In this paper, we put forward a new framework of
Hui Wang, Huaglory Tianfield
doaj   +1 more source

PAPSO: A Power-Aware VM Placement Technique Based on Particle Swarm Optimization

open access: yesIEEE Access, 2020
With the widespread usage of cloud computing to benefit from its services, cloud service providers have invested in constructing large scale data centers.
Abdelhameed Ibrahim   +3 more
doaj   +1 more source

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