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.

翻译：云延迟对云应用的成功具有关键影响。因此，表征云网络性能对于分析和满足不同延迟需求至关重要。本案例研究聚焦于云出站网络延迟，通过对Google App Engine的分析，证实了优化应用部署的必要性。更重要的是，我们的建模工作建立了一个分而治之的框架，以应对理解和研究云延迟的复杂性。