An automated approach to create, manage and analyze large- scale experiments for elastic n-tier application in clouds
Cloud computing has revolutionized the computing landscape by providing on-demand, pay-as-you-go access to elastically scalable resources. Many applications are now being migrated from on-premises data centers to public clouds; yet, the transition to the cloud is not always straightforward and smoot...
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| Format: | Others |
| Language: | en_US |
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Georgia Institute of Technology
2013
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| Online Access: | http://hdl.handle.net/1853/49098 |