RARE: A Labeled Dataset for Cloud-Native Memory Anomalies
<p>The dataset is linked to the paper RARE: A Labeled Dataset for Cloud-Native Memory Anomalies (<a href="https://doi.org/10.1145/3416505.3423560">https://doi.org/10.1145/3416505.3423560</a>)</p> <p>This dataset has been generated using a microservice for injecting artificial byte stream in order to overload the nodes, provoking memory anomalies,</p> <p>It includes 2 files:</p> <p>- List_of_anomalies.csv includes the details on the anomalies injected</p> <p>- RARE.csv is the actual dataset.</p> <p>There are a total of 30 anomalies injected in the dataset. The full dataset comprise 10K labelled time-series, each with 7062 metrics.</p>
ShareScore
24/100
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
- 0
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- July 9, 2020
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.3939023
Scored with release 0.9.0
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