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  • 标题:Energy Efficient Dynamic Threshold Based Load Balancing Technique in Cloud Computing Environment
  • 本地全文:下载
  • 作者:Shivani Gupta ; Damodar Tiwari ; Shailendra Singh
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:2
  • 页码:1023-1026
  • 出版社:TechScience Publications
  • 摘要:Cloud computing is the new emerging technology in the field of research and IT industries. So the demand for the computational power required by the business, web and scientific application are rapidly increased in recent past year. To fulfill this demand large scale data center are created which consume enormous amount of electric power. Energy consume by the data center can be reduced by minimizing the number of active server which is known as server consolidation and by the proper load balancing. To achieve the server consolidation and the load balancing VM migration is used. VM migration is an important feature provided by the virtualization. It is the process of transferring the VM from one host to the host. VM migration is the costly operation which degrades the system performance. Proper load balancing can help to minimize the number migration as well as energy consumption. This paper present a load balancing approach based on the Virtual Machine migration. Lower and upper threshold are use for the load balancing. When the load on server is above the upper threshold or below the lower threshold, system is unbalance and some VM has to be migrated. Our result show that the proposed method increase the resource utilization by applying the dynamic lower and upper threshold compare to the traditional VM migration algorithm.
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