2012•Jisuanji yingyong yanjiuRequires access

Virtual machine deployment optimization in cloud

Chen Jun-jieb

Open publisher page 0 citations

Abstract

In order to overcome limitations of deploying virtual cluster in the cloud,this paper designed a optimized deployment model.In the model a distributed full customized VM image library was built in blocks.The VM images were selected,deployed and instantiated according the deployment policy and transmitted from multi-source in parallel,and finally a hypervisor in host completed the process.Experimental results show the single virtual machine' s average deployment time is less than 3%~45% in different VM cluster deployment scales.The method is effective.

About this research paper

What this paper is about

In order to overcome limitations of deploying virtual cluster in the cloud,this paper designed a optimized deployment model.In the model a distributed full customized VM image library was built in blocks.The VM images were selected,deployed and instantiated according the deployment policy and transmitted from multi-source in parallel,and finally a hypervisor in host completed the process.Experimental results show the single virtual machine' s average deployment time is less than 3%~45% in different VM cluster deployment scales.The method is effective.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In order to overcome limitations of deploying virtual cluster in the cloud,this paper designed a optimized deployment model.In the model a distributed full customized VM image library was built in blocks.The VM images were selected,deployed and instantiated according the deployment policy and transmitted from multi-source in parallel,and finally a hypervisor in host completed the process.Experimental results show the single virtual machine' s average deployment time is less than 3%~45% in different VM cluster deployment scales.The method is effective.

Key concepts: Software deployment, Computer science, Hypervisor, Virtual machine, Cloud computing, Operating system, Cluster (spacecraft), Process (computing)

Related papers

Back to paper searchBrowse research topicsOriginal source
Virtual machine deployment optimization in cloud — Research Paper | ScholarLens