  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.
