Our prediction model shows how file system events can be successfully modeled with the multi-order techniques used in PPM. Through trace driven simulations, we have demonstrated that this model can be used effectively to predict future file system events. From our ability to effectively predict future events, based on previous file system events, we have shown strong empirical evidence that there exists consistent and exploitable relationships between file accesses.
As the I/O gap widens due to advances in processor design, file system latency will become a greater hindrance to overall performance. By exploiting the highly related nature of file system events we can use methods such as predictive caching to reduce file system latency and improve overall system performance.