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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&nbsp;(<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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