Results 51 to 60 of about 8,759 (194)

Energy-efficient and quality-aware VM consolidation method [PDF]

open access: yes, 2020
To improve resource utilization and energy efficiency, cloud data centers use virtual machine (VM) consolidation to consolidate VMs to fewer physical machines (PMs) through live VM migration.
Chang, Victor
core   +1 more source

MTAD: A Multitarget Heuristic Algorithm for Virtual Machine Placement

open access: yesInternational Journal of Distributed Sensor Networks, 2015
Cloud data centers are facing increasingly virtual machine (VM) placement problems, such as high energy consumption, imbalanced utilization of multidimension resource, and high resource wastage rate.
Lei Chen   +5 more
doaj   +1 more source

Balancing Performances in Online VM Placement

open access: yes, 2016
Optimal usage of data center resources has become one of the most important topics in the cloud computing research community. Increased efficiency alongside decreased power consumption becomes a desired goal. Crucial point in achieving this goal is the process of virtual machine placement. In this paper, we analyze and compare several heuristics aiming
Sonja Filiposka   +2 more
openaire   +1 more source

A Study for VM Placement Schemes in Cloud

open access: yesInternational Journal of Advanced Research in Computer Science and Software Engineering, 2017
The cloud computing can be essentially expressed as aconveyance of computing condition where distinctive assets are conveyed as a support of the client or different occupants over the web. The task scheduling basically concentrates on improving the productive use of assets and henceforth decrease in task fruition time.
Ramandeep Kaur, Navpreet Kaur
openaire   +1 more source

Energy-Efficient VM Placement in PON-based Data Center Architectures with Cascaded AWGRs

open access: yes, 2022
Data centers based on Passive Optical Networks (PONs) can offer scalability, low cost and high energy-efficiency. Application in data centers can use Virtual Machines (VMs) to provide efficient utilization of the physical resources.
Mohamed, Sanaa H.   +4 more
core   +1 more source

A heuristic placement selection of live virtual machine migration for energy-saving in cloud computing environment. [PDF]

open access: yesPLoS ONE, 2014
The field of live VM (virtual machine) migration has been a hotspot problem in green cloud computing. Live VM migration problem is divided into two research aspects: live VM migration mechanism and live VM migration policy.
Jia Zhao   +4 more
doaj   +1 more source

A Logic Programming Approach to VM Placement

open access: yesProceedings of the 14th International Conference on Cloud Computing and Services Science
Placing virtual machines so to minimize the number of used physical hosts is an utterly important problem in cloud computing and next-generation virtualized networks. This article proposes a declarative reasoning methodology, and its open-source prototype, including four heuristic strategies to tackle this problem.
Andreoli, Remo   +4 more
openaire   +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

Energy-Aware VM Initial Placement Strategy Based on BPSO in Cloud Computing

open access: yes, 2018
In recent years, high energy consumption has gradually become a prominent problem in a data center. With the advent of cloud computing, computing and storage resources are bringing greater challenges to energy consumption.
Lei Qiao   +4 more
core   +1 more source

Service Oriented Cloud VM Placement Strategy for Internet of Things

open access: yesIEEE Access, 2017
The back-end intelligent system of Internet of Things (IoT) needs the powerful computing ability to support its service, and therefore, IoT is often constructed on the cloud platform.
Yi-Hsuan Chen, Chi-Yuan Chen
doaj   +1 more source

Home - About - Disclaimer - Privacy