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Characterizing the Cloud's Outbound Network Latency: An Experimental and Modeling Study

机译:表征云的出站网络延迟:实验和建模研究

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摘要

Cloud latency has critical influences on the success of cloud applications. Therefore, characterizing cloud network performance is crucial for analyzing and satisfying different latency requirements. By focusing on the cloud's outbound network latency, this case study on Google App Engine confirms the necessity of optimizing application deployment. More importantly, our modeling effort has established a divide-and-conquer framework to address the complexity in understanding and investigating the cloud latency.
机译:云延迟对云应用程序的成功具有重要影响。因此,表征云网络性能对于分析和满足不同延迟要求至关重要。通过专注于云的出境网络延迟,在Google App Engine上的这种情况研究确认了优化应用部署的必要性。更重要的是,我们的建模努力建立了分裂和征服框架,以解决理解和调查云延迟的复杂性。

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