Description

AMM is a runtime monitoring solution for detecting potentially abnormal behavior of control-based self-adaptive systems. The basic intuition of AMM is to stimulate the control-SAS with an active control signal when vague observations might mask model deviations. To determine the appropriate time for triggering the active signals, AMM proposes a stochastic framework to quantify the relationship between the implicit variation of a control-SAS and its explicit observation. Based on this framework, AMM’s monitor and remediator enhance model deviation detection by generating active control signals of well-designed timing and intensity.

Provenance

The source code is based on three existing subject systems from the community of slef-adaptive system.

License