Existing models make simplifying assumptions regarding the presence (or lack of) I/O contention, which we believe are not realistic for data intensive workloads. CPU and I/O costs show very different scaling behavior when multiple tasks are competing for the same resources, and these costs must therefore be treated separately in the models.