This dataset includes system metrics (anonymised) such as CPU and memory utilisation, as well as hard drive metrics from SMART (Self-Monitoring, Analysis, and Reporting Technology), collected from more than 100 cloud servers and is used in our editor's choice study “A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence”. If you use this dataset in your study, please cite [1, 2].

[1]. Chhetri, T.R., Dehury, C.K., Lind, A., Srirama, S.N. and Fensel, A., 2022. A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence. Big Data and Cognitive Computing, 6(1), p.26.

[2]. Dehury, C.K., Chhetri, T.R., Lind, A., Srirama, S.N. and Fensel, A., 2021. HPC Cloud traces for better cloud service reliability.

The dataset contains 20 feature columns, details of which are provided in Table below.