An Ant Colony System for energy-efficient dynamic Virtual Machine Placement in data centers

Author:

Alharbi Fares,Tian Yu-ChuORCID,Tang Maolin,Zhang Wei-Zhe,Peng Chen,Fei Minrui

Funder

National Natural Science Foundation of China

Science and Technology Commission

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference31 articles.

1. Profile-based ant colony optimization for energy-efficient virtual machine placement;Alharbi,2017

2. Profile-based static virtual machine placement for energy-efficient data centers;Alharbi,2016

3. Dynamic voltage and frequency scaling-aware dynamic consolidation of virtual machines for energy efficient cloud data centers;Arroba;Concurrency and Computation: Practice and Experience,2017

4. Multi-objective dynamic virtual machine consolidation in the cloud using ant colony system;Ashraf;International Journal of Parallel, Emergent and Distributed Systems,2018

5. Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing;Beloglazov;Future Generation Computer Systems,2012

Cited by 99 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An integrated optimization method to task scheduling and VM placement for green datacenters;Simulation Modelling Practice and Theory;2024-09

2. Towards energy and QoS aware dynamic VM consolidation in a multi-resource cloud;Future Generation Computer Systems;2024-08

3. E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers;PLOS ONE;2024-06-10

4. A hybrid energy-aware algorithm for virtual machine placement in cloud computing;Computing;2024-04-03

5. An Efficient Storage Utilisation in Cloud using VM Consolidation with Secure Data Sharing;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3