SASO 2019

The IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO) brings together researchers working on self-adaptation and self-organisation in computing systems, covering theories, frameworks, methods and engineering practice for systems that adapt their behaviour and organisation at run time in response to their environment.

Self-* systems theory: nature-inspired and socially-inspired paradigms and heuristics; theoretical frameworks and models; formal languages; control theory; requirement and goal expression techniques; uncertainty as a 1st class entity • Self-* system properties: robustness; resilience; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness • Self-* systems engineering: reusable mechanisms and algorithms; design patterns; programming languages; architectures; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems • Principles and practices of self-organization: self-governance; security; change management; distributed consensus, knowledge management, and the general use of rules, norms and policies • Mechanisms for self-adaptation: inter-operation of self-* mechanisms; evolution, logic, and learning; addressing large-scale and decentralized systems • Socio-technical self-* systems: human and social factors; visualization; crowdsourcing and collective awareness • Data-driven approaches to self-* systems: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage the behavior of complex systems • Self-adaptive and self-organizing hardware: self-* materials; self-construction; reconfigurable hardware • Self-* systems education: experience reports; curricula; innovative course concepts • Applications and experiences with self-* systems: smart grid, smart cities, smart homes, manufacturing and industrial plants, cyber-physical systems; autonomous vehicles and robotics; traffic management; self-adaptive cybersecurity; Internet of Things; fog/edge computing