.png){kind=icon}
返回
Energy-aware Virtual Machine Migration for Cloud Computing - A Firefly Optimization Approach
.png){kind=icon}
PRE
AI
DOI：10.1007/s10723-016-9364-0.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Energy efficiency has grown into a latest exploration area of virtualized cloud computing paradigm. The increase in the number and the size of the cloud data centers has propagated the need for energy efficiency. An extensively practiced technology in cloud computing is live virtual machine migration and is thus focused in this work to save energy. This paper proposes an energy-aware virtual machine migration technique for cloud computing, which is based on the Firefly algorithm. The proposed technique migrates the maximally loaded virtual machine to the least loaded active node while maintaining the performance and energy efficiency of the data centers. The efficacy of the proposed technique is exhibited by comparing it with other techniques using the CloudSim simulator. An enhancement in the average energy consumption of about 44.39 % has been attained by reducing an average of 72.34 % of migrations and saving 34.36 % of hosts, thereby, making the data center more energy-aware.
Keyword:
Cloud computing
Energy awareness
Firefly optimization
Virtualization
Virtual Machine (VM) migration
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.9
论文数:
761
被引数:
1.2K
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏Energy-efficient and multifaceted resource management for profit-driven virtualized data centers
PREAI
分享收藏
查看更多内容