Adaptive virtual machine migration mechanism for energy efficiency
Author:
Affiliation:
1. Swinburne University of Technology, Melbourne, Australia
2. Monash University, Melbourne, Australia
Publisher
ACM Press
Reference38 articles.
1. Jonathan Koomey. Growth in data center electricity use 2005 to 2010.Oakland, CA: Analytics Press. August, 1:2010, 2011.
2. Pierre Delforge. America's data centers consuming and wasting growing amounts of energy.Natural Resource Defence Councle, 2014.
3. Kyong Hoon Kim, Rajkumar Buyya, and Jong Kim. Power aware scheduling of bag-of-tasks applications with deadline constraints on dvs-enabled clusters. InCCGRID, volume 7, pages 541--548, 2007.
4. Anton Beloglazov and Rajkumar Buyya. Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers.Concurrency and Computation: Practice and Experience, 24(13):1397--1420, 2012.
5. Saurabh Kumar Garg, Chee Shin Yeo, Arun Anandasivam, and Rajkumar Buyya. Energy-efficient scheduling of HPC applications in cloud computing environments.arXiv preprint arXiv:0909.1146, 2009.
Cited by 8 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. QoS Based Virtual Machine Consolidation for Energy Efficient and Economic Utilization of Cloud Resources;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18
2. An energy‐efficient method of resource allocation based on request prediction in multiple cloud data centers;Concurrency and Computation: Practice and Experience;2023-02-03
3. Virtual Machine Migration in Cloud Computing;Oriental journal of computer science and technology;2022-02-28
4. Bullfighting extreme scenarios in efficient hyper-scale cluster computing;Cluster Computing;2020-03-16
5. Stability control in virtual machine: Resource allocation for cloud computing;APPLIED PHYSICS OF CONDENSED MATTER (APCOM 2019);2019
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