Website: https://rasacc-dsn.github.io/rasacc26/
Autonomous systems are increasingly deployed as part of large-scale, heterogeneous distributed systems spanning the cloud-edge-IoT computing continuum. These systems interact, collaborate, and adapt dynamically while operating under partial information, resource constraints, and evolving environments.
Ensuring resiliency across this continuum requires innovative approaches to maintain system-level dependability, safety, and performance despite these challenges.
Traditional dependability and security mechanisms often fall short in highly autonomous, distributed environments where components exhibit independent decision-making and adaptation. Factors such as resource contention, mobility, heterogeneity, partial connectivity, and cross-layer interactions can degrade overall system performance or lead to failures. Resiliency strategies must address these to prevent cascading effects and sustain operations in dynamic conditions.
The workshop aims to connect researchers and practitioners to explore resiliency in autonomous systems across computing continuum ecosystems. Emphasis is on system-level dependability, resilience, and intrusion tolerance aimed at intrinsic autonomy, distribution, heterogeneity, and collaboration. Cross-disciplinary contributions from dependability engineering, distributed systems, security, and AI-enabled systems are encouraged, including real-world case studies.
A central theme of the workshop is resilient coordination, consensus, and decision-making in collaborative autonomous systems, such as multi-agent systems, swarms, and autonomous fleets. Particular attention is given to how collective performance can be preserved under faults, uncertainty, and incomplete knowledge, where interaction dynamics and robust cooperation are essential.
Security and intrusion tolerance are equally critical across the continuum: the workshop welcomes work on cyber attacks, Byzantine and malicious behaviors in collaborative ecosystems, intrusion-tolerant architectures and protocols, trust management under partial compromise, and mechanisms to prevent security incidents from escalating into systemic failures. Runtime and adaptive resilience are also emphasized, including monitoring, anomaly detection, online risk assessment, runtime verification, and self-adaptive, self-healing, and self-protecting systems that provide continuous assurance.
Finally, the workshop highlights collaborative and human-in-the-loop systems, exploring shared autonomy, mixed-initiative control, and human-autonomy interaction. Contributions examining how such interactions influence robustness, safety, and trust are especially encouraged. Through theoretical advances, modeling and evaluation studies, tools, and real-world case studies, the workshop seeks to shape the next generation of resilient autonomous systems across the computing continuum.