  Antifragility is a novel concept focusing on letting software systems learn
and improve over time based on sustained adverse events such as failures. The
actor model has been proposed to deal with concurrent computation and has
recently been adopted in several serverless platforms. In this paper, we
propose a new idea for supporting the adoption of supervision strategies in
serverless systems to improve the antifragility properties of such systems. We
define a predictive strategy based on the concept of stressors (e.g., injecting
failures), in which actors or a hierarchy of actors can be impacted and
analyzed for systems' improvement. The proposed solution can improve the
system's resiliency in exchange for higher complexity but goes in the direction
of building antifragile systems.
