TY  - GEN
A1  - Ghahremani, Sona
A1  - Giese, Holger
T1  - Performance evaluation for self-healing systems
T2  - 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)
N2  - 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.
KW  - self-healing
KW  - failure profile
KW  - evaluation
KW  - simulator
KW  - performance
Y1  - 2019
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/50474
SN  - 978-1-7281-2406-3
SP  - 116
EP  - 119
PB  - IEEE
CY  - New York
ER  -