Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples

Author:

Phothilimthana Phitchaya Mangpo1ORCID,Kadekodi Saurabh2ORCID,Ghodrati Soroush3ORCID,Moon Selene4ORCID,Maas Martin1ORCID

Affiliation:

1. Google DeepMind, Mountain View, CA, United States of America

2. Google, Mountain View, CA, United States of America

3. University of California, San Diego, San Diego, CA, United States of America

4. Google, New York City, NY, USA

Publisher

ACM

Reference84 articles.

1. Cristina L Abad, Huong Luu, Nathan Roberts, Kihwal Lee, Yi Lu, and Roy H Campbell. Metadata traces and workload models for evaluating big storage systems. In 2012 IEEE fifth international conference on utility and cloud computing, pages 125--132. IEEE, 2012.

2. Nitin Agrawal, Andrea C Arpaci-Dusseau, and Remzi H Arpaci-Dusseau. Generating realistic impressions for file-system benchmarking. ACM Transactions on Storage (TOS), 5(4):1--30, 2009.

3. Eric Anderson, Mahesh Kallahalla, Mustafa Uysal, and Ram Swaminathan. Buttress: A toolkit for flexible and high fidelity i/o benchmarking. In FAST, volume 4, pages 45--58, 2004.

4. Akshat Aranya, Charles P Wright, and Erez Zadok. Tracefs: A file system to trace them all. In FAST, pages 129--145, 2004.

5. Akshat Aranya, Charles P. Wright, and Erez Zadok. TraceFS sample traces (SNIA IOTTA trace 3). In Geoff Kuenning, editor, SNIA IOTTA Trace Repository. Storage Networking Industry Association, February 2007.

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