In this talk we provide a framework for analyzing network traffic traces through trace-driven queueing. We also introduce several queueing metrics together with the associated visualization tools that provide insight into the traffic features and facilitate comparisons between traces. Some techniques for non-stationary data are discussed. Applying our framework to both real and synthetic traces we illustrate how to compare traces using trace-driven queueing, and also show that traces that look `similar' under various statistical measures (such as the Hurst index) can exhibit rather different behavior under queueing simulation.