Results 21 to 30 of about 5,665,822 (285)
Virtual Machine Placement in Cloud Environments
, 2012 With the emergence of cloud computing, computing resources (i.e., networks, servers, storage, applications, and services) are provisioned as metered on-demand services over networks, and can be rapidly allocated and released with minimal management effort.
Li, Wubin
core +4 more sources
Virtual Machine Selection Strategy Based on Task Mapping for Cloud Data Center [PDF]
Jisuanji gongcheng, 2019 Changing the relationship between virtual machine selection and placement in cloud data centers can improve the overall performance of cloud data centers.For this reason,this paper proposes a virtual machine selection strategy based on task mapping.This ...
LIU Kainan
doaj +1 more source
EURASIP Journal on Wireless Communications and Networking, 2020 In order to improve the adaptive management ability of virtual machine placement in cloud computing, an adaptive management and multi-objective optimization method for virtual machine placement in cloud computing is proposed based on particle swarm ...
Shuxiang Li, Xianbing Pan
doaj +1 more source
A comprehensive survey on load balancing techniques for virtual machines
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2023 Cloud computing is an emerging technique with remarkable features such as scalability, high flexibility, and reliability. Since this field is growing exponentially, more users are attracted to fast and better service.
Suman Sansanwal, Nitin Jain
doaj +1 more source
Virtual Machine Placement Using Energy Efficient Particle Swarm Optimization in Cloud Datacenter
Cybernetics and Information Technologies, 2021 Efficient resource allocation through Virtual machine placement in a cloud datacenter is an ever-growing demand. Different Virtual Machine optimization techniques are constructed for different optimization problems.
Madhumala R. B. +2 more
doaj +1 more source
An Intelligent Approach to Resource Allocation on Heterogeneous Cloud Infrastructures
Applied Sciences, 2021 Cloud computing systems are rapidly evolving toward multicloud architectures supported on heterogeneous hardware. Cloud service providers are widely offering different types of storage infrastructures and multi-NUMA architecture servers.
Jack Marquez +2 more
doaj +1 more source
Parallel Virtual Machines Placement with Provable Guarantees
CoRR, 2022 Network Function Virtualization (NFV) carries the potential for on-demand deployment of network algorithms in virtual machines (VMs). In large clouds, however, VM resource allocation incurs delays that hinder the dynamic scaling of such NFV deployment.
Itamar Cohen +5 more
openaire +3 more sources
Profile-based virtual machine placement for energy optimization of data centers [PDF]
, 2017 This thesis provides a framework for virtual resource placement to optimize energy consumption in data centers. The framework consists of three phases: profiling, task classification, and virtual machine placement, and automatically conducts virtual ...
Ding, Zhe
core +1 more source
International Journal of Intelligent Networks, 2023 In cloud environments, optimization of resource utilizations is one among the predominant challenges. The two sub-research topics are cloud resource prediction and allocation.
P. Karthikeyan
doaj +1 more source
Virtual numbers for virtual machines? [PDF]
, 2014 Knowing the number of virtual machines (VMs) that a cloud physical hardware can (further) support is critical as it has implications on provisioning and hardware procurement. However, current methods for estimating the maximum number of VMs possible on a
Ko, Ryan K. L. +7 more
core +1 more source