RARE: A Labeled Dataset for Cloud-Native Memory Anomalies

  • Francesco Lomio (Creator)
  • Diego Martínez Baselga (Creator)
  • Sergio Moreschini (Creator)
  • Heikki Huttunen (Creator)
  • Davide Taibi (Creator)

Dataset

Description

The dataset is linked to the paper RARE: A Labeled Dataset for Cloud-Native Memory Anomalies (https://doi.org/10.1145/3416505.3423560) This dataset has been generated using a microservice for injecting artificial byte stream in order to overload the nodes, provoking memory anomalies, It includes 2 files: - List_of_anomalies.csv includes the details on the anomalies injected - RARE.csv is the actual dataset. There are a total of 30 anomalies injected in the dataset. The full dataset comprise 10K labelled time-series, each with 7062 metrics.
Date made available10 Jul 2020

Field of science, Statistics Finland

  • 113 Computer and information sciences
  • RARE: a labeled dataset for cloud-native memory anomalies

    Lomio, F., Martínez Baselga, D., Moreschini, S., Huttunen, H. & Taibi, D., 2020, MaLTeSQuE 2020: Proceedings of the 4th ACM SIGSOFT International Workshop on Machine-Learning Techniques for Software-Quality Evaluation. Khomh, F., Salza, P. & Catolino, G. (eds.). ACM, p. 19-24 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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