Extracting Flexible, Replayable Models From Large Block Traces
Source: Stony Brook University
I/O traces are good sources of information about real-world workloads; replaying such traces is often used to reproduce the most realistic system behavior possible. But traces tend to be large, hard to use and share, and inflexible in representing more than the exact system conditions at the point the traces were captured. Often, however, researchers are not interested in the precise details stored in a bulky trace, but rather in some statistical properties found in the traces - properties that affect their system's behavior under load.