Performance evaluation for self-healing systems
- Evaluating the performance of self-adaptive systems (SAS) is challenging due to their complexity and interaction with the often highly dynamic environment. In the context of self-healing systems (SHS), employing simulators has been shown to be the most dominant means for performance evaluation. Simulating a SHS also requires realistic fault injection scenarios. We study the state of the practice for evaluating the performance of SHS by means of a systematic literature review. We present the current practice and point out that a more thorough and careful treatment in evaluating the performance of SHS is required.
| Author details: | Sona GhahremaniORCiDGND, Holger GieseORCiDGND |
|---|---|
| DOI: | https://doi.org/10.1109/FAS-W.2019.00039 |
| ISBN: | 978-1-7281-2406-3 |
| Title of parent work (English): | 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W) |
| Subtitle (English): | Current Practice & Open Issues |
| Publisher: | IEEE |
| Place of publishing: | New York |
| Publication type: | Other |
| Language: | English |
| Date of first publication: | 2019/08/08 |
| Publication year: | 2019 |
| Release date: | 2021/04/22 |
| Tag: | evaluation; failure profile; performance; self-healing; simulator |
| Number of pages: | 4 |
| First page: | 116 |
| Last Page: | 119 |
| Organizational units: | An-Institute / Hasso-Plattner-Institut für Digital Engineering gGmbH |
| DDC classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke |
| Peer review: | Referiert |
