An Architecture-aware Approach to Hierarchical Online Failure Prediction
<p>Supplementary material for the paper:</p> <p>"An Architecture-aware Approach to Hierarchical Online Failure Prediction".</p> <p>Included in the supplementary material are:</p> <ul> <li>Architectural Dependency Model (ADM): the ADM used in the evaluation (exported to yml format).</li> <li>Failure Propagation Model (FPM): the structure of the FPM and the corresponding conditional probability tables.</li> <li>Proof-of-concept implementation of Hora, including instruction of how to build, run, and analyze the results. Note: Hora currently works only on Linux due to a limitation in R bridge for Windows.</li> <li>Evaluation results of two failure scenarios; memory leak, system overload and the overall result.</li> </ul> <p>Additionally, the following datasets used in the experiment are also provided:</p> <ul> <li>35-SystemOverload.zip</li> <li>36-MemoryLeak.zip</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