RESMETRIC: Analyzing Resilience to Enable Research on Antifragility

TL;DR

This paper introduces ResMetric, a versatile tool that measures and visualizes resilience and antifragility in self-adaptive systems, aiding researchers in evaluating and improving system robustness over time.

Contribution

The paper presents ResMetric, the first out-of-the-box, model-agnostic tool for quantifying and visualizing resilience and antifragility metrics in self-adaptive systems.

Findings

ResMetric effectively computes resilience metrics from quality of service data.

The tool enables visualization of resilience and antifragility trends.

Demonstrated its application in a gas detection case study.

Abstract

A key feature in self-adaptive systems is resilience, which is an ongoing research topic. Recently, the community started to explore antifragility, which describes the improvement of resilience over time. While there are model-agnostic resilience metrics, there is currently no out-of-the-box tool for researchers and practitioners to determine to which degree their system is resilient. To facilitate research on antifragility, we present ResMetric, a model-agnostic tool that calculates and visualizes various resilience metrics based on the quality of service over time. With ResMetric, researchers can evaluate their definition of resilience and antifragility. This paper highlights how ResMetric can be employed by demonstrating its use in a case study on gas detection.