ARIMA time series modeling and forecasting for adaptive I/O prefetching
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This paper demonstrates that disk-level I/O requests are self-similar in nature. We show evidence, visual and mathematical, that I/O accesses are consistent with self-similarity. For this analysis we have used two sets of disk activity traces collected from various systems over different periods of time. In addition to studying the aggregated I/O workload that is directed to the storage system, we perform a structural modeling of the workload, in order to understand the underlying causes that produce the observed self-similarity. This structural modeling shows that self-similar behavior can be explained by combining two different approaches: the ON/OFF source model and Cox's model. The former applies to those processes that remain active during the whole trace, the latter to the sources that show a very short activity time.