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Benchmarking data for studying order-related performance effects

<p>This dataset includes over 2.2M&nbsp;performance measurements collected on the CloudLab testbed. Performance&nbsp;tests from&nbsp;CPU and memory benchmarks were run in fixed and random orders allowing comprehensive&nbsp;comparisons.&nbsp;The analysis and the outcomes are summarized in the paper &quot;Avoiding the Ordering Trap in Systems Performance Measurement&quot;, which will become available&nbsp;online in the near future and will be presented at USENIX ATC&#39;23.</p> <p>--------------</p> <p>Contributors:</p> <ul> <li> <p>Dmitry Duplyakin (University of Utah)</p> </li> <li> <p>Nikhil Ramesh&nbsp;(University of Utah)&nbsp;</p> </li> <li> <p>Carina Imburgia&nbsp;(University of Washington)&nbsp;</p> </li> <li> <p>Hamza Fathallah Al Sheikh&nbsp;(University of Utah)&nbsp;</p> </li> <li> <p>Semil Jain&nbsp;(University of Utah)&nbsp;</p> </li> <li> <p>Prikshit Tekta&nbsp;(University of Utah)&nbsp;</p> </li> <li> <p>Aleksander Maricq&nbsp;(University of Utah)&nbsp;</p> </li> <li> <p>Gary Wong&nbsp;(University of Utah)&nbsp;</p> </li> <li> <p>Robert Ricci&nbsp;(University of Utah)&nbsp;</p> </li> </ul>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0