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.

翻译：反脆弱性是一个新兴概念，专注于让软件系统通过持续的不良事件（如故障）学习和改进。Actor模型被提出用于处理并发计算，最近已被多个无服务器平台采用。本文提出一种新思路，通过在无服务器系统中支持监管策略来提升系统的反脆弱特性。我们基于压力源（例如注入故障）概念定义了预测性策略，其中单个Actor或Actor层级可被影响并用于分析系统改进。所提出的解决方案以增加复杂性为代价提升了系统韧性，但朝着构建反脆弱系统的方向发展。