We propose a new synthetic trace generation methodology for web server performance benchmarking. We discuss the two primary existing approaches to synthetic trace generation in terms of queueing models. We propose a new methodology as the natural combination of these two approaches. This hybrid approach permits natural modeling of client content and server session caching as well as a natural correspondence between the workload model parameters and the statistics of the resulting synthetic trace.