[Laboratory for System Dependability]
Data sets　
In this site, we provide the data sets for system dependability research. The data sets can be downloaded with consent to the disclaimer.

Software aging in image classification systems on cloud and edge systems

The data set includes 72 hours of system measurement data as well as the response time performances for image classification systems.
The same image classification program is executed on either a cloud or an edge system with three different workload settings.
We conducted the same experiments four times (R1, R2, R3, and R4).
The obtained data are archived separately in the files ({R1, R2, R3, R4}-{Cloud, Edge}.zip).
We observed software aging phenomenon in these data sets. The details will be available in our paper currently under review.
The data sets are available for further research purposes.

Reference
E. Andrade, R. Pietrantuono, F. Machida, and D. Cotroneo, A Comparative Analysis of Software Aging in Image Classifiers on Cloud and Edge, IEEE Transactions on Dependable and Secure Computing, 2021. [link]

E. Andrade, F. Machida, R. Pietrantuono, and D. Cotroneo, Software aging in image classification systems on cloud and edge, IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), pp. 342-348, 2020. [paper]

disclaimer
The data set is available for only research and educational purpose. The laboratory makes no warranties about the data sets, and disclaims liability for all uses of the data sets.

Last update: 2021.3.31