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  • 标题:Energy Optimizing Hybrid Genetic Algorithm During VM Migrations in Data Center
  • 本地全文:下载
  • 作者:Dr. Dhiraj Sharma ; Tavleen Kaur Gill
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2016
  • 卷号:7
  • 期号:1
  • 页码:112-117
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Energy Consumption is the crucial factor in Cloud Data centers that leads to acquire high cost of running budget. As demand for resources increases in cloud computing, energy consumption of data centers also becomes high. In today’s era, virtualization has become one of the most essential solutions in minimization of energy consumption. Virtual Machine Placement on hosts is the main concept which carried out during Virtual Machine migrations in data centers. Virtual Machine migration helps to utilize hardware resources of hosts, but leads to extra energy overhead in Data centers. The main objective of this work is to optimize energy consumption in the context of energy overhead during VM Live Migration. Our proposed hybrid algorithm provisions various VMs to hosts in a way that to minimize energy consumption, while delivering approved Quality of Service with minimum migration overhead. Results demonstrate that proposed EOHGA algorithm minimized energy consumption and migration overhead with defined test problems as compare to base VM Placement method.
  • 关键词:Data center;Virtualization;VM Placement;Energy Consumption; Virtual Machines (VMs);Genetic Algorithm
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