Running traces of realistic user activity is an important step in
evaluating storage power management. Unfortunately, existing
methodologies that replay traces as fast as possible on a live system
cannot be used to evaluate timeout-based power management policies.
Other methodologies that slow down replay to preserve the recorded
delays between operations are too time-consuming. We propose a hybrid
approach, called Drive-Thru, that provides both accuracy and speed of
evaluation by separating time-dependent and time-independent activity.
We first synchronously replay file system activity on the target
platform to create a