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Abstract

Trace analysis provides insights into workload properties and IO patterns, which are essential for storage system tuning and optimizing. This chapter discusses how the workload interacts with system components, algorithms, structures, and applications.

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Notes

  1. 1.

    http://searchsolidstatestorage.techtarget.com/feature/The-truth-about-SSD-performance-benchmarks

  2. 2.

    www.snia.org/forums/sssi/rtp

  3. 3.

    For space saving, the words “sequential,” “performance,” and “throughput” are shortened as “seq.”, “perf.” and “TP”, respectively. Jie Yu and Grant Markey also contributed this table.

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© 2018 Jun Xu

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Xu, J. (2018). Trace Analysis. In: Block Trace Analysis and Storage System Optimization. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3928-5_4

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