Resilience and Agility in Complex Systems

The field of complex systems is moving towards developing more resilient and agile architectures, with a focus on integrating sensing, communication, and computation to enable robust and adaptive performance. This is driven by the need to address emerging challenges in areas such as cybersecurity, space systems, and disaster response. Recent research has explored the use of autonomous systems, co-evolutionary arms races, and graph-based architectures to improve resilience and responsiveness. Notable papers in this area include: Autonomous Cyber Resilience via a Co-Evolutionary Arms Race within a Fortified Digital Twin Sandbox, which introduces a framework for achieving analytical resilience through an autonomous, closed-loop hardening process. Resilience Through Escalation: A Graph-Based PACE Architecture for Satellite Threat Response, which presents a resilience-by-design framework for satellite systems using a layered state-transition model informed by threat scoring frameworks.

Sources

Agile, Autonomous Spacecraft Constellations with Disruption Tolerant Networking to Monitor Precipitation and Urban Floods

SAFER-D: A Self-Adaptive Security Framework for Distributed Computing Architectures

Dependability of UAV-Based Networks and Computing Systems: A Survey

Enhancing Evacuation Safety: Detecting Post-Nuclear Event Radiation Levels in an Urban Area

Robust and Resilient Networks with Integrated Sensing, Communication and Computation

Notes on Degeneracy and Robustness

Autonomous Cyber Resilience via a Co-Evolutionary Arms Race within a Fortified Digital Twin Sandbox

Resilience Through Escalation: A Graph-Based PACE Architecture for Satellite Threat Response

Built with on top of