Part of FAS* - Foundations and Applications of Self* Systems
Co-located with:
The International Conference on Cloud and Autonomic Computing (ICCAC 2017)


FAS* and SASO 2017 at University of Arizona
The 2017 edition of the SASO conference series will be held at the University of Arizona, Tucson, AZ in the week of September 18-22, 2017. SASO is part of FAS*, a common umbrella for two closely related but independent conferences (SASO and ICCAC) with shared events including workshops, tutorials, doctoral symposia, etc.

The aim of the Self-Adaptive and Self-Organizing systems conference series (SASO) is to provide a forum for the foundations of a principled approach to engineering systems, networks and services based on self-adaptation and self-organization. The complexity of current and emerging networks, software and services, especially in dealing with dynamics in the environment and problem domain, has led the software engineering, distributed systems and management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, artificial intelligence, sociology, and biology) to find new ways of designing and managing such computing systems. In this endeavor, self-organization and self-adaptation have emerged as two promising interrelated approaches. Many significant research problems exist related to self-adaptive or self-organizing systems. A challenge in self-adaptation is often to identify how to change specific behavior to achieve the desired improvement. Another major challenge is to predict and control the global system behavior resulting from self-organization. Yet more challenges arise from the confluence of self-adaptation with self-organization. For instance, how do self-* mechanisms that work well independently operate in combination? How are meso-level structures formed which leverage micro-level behavior to achieve desirable macro-level outcomes, and avoid undesirable ones?

The 11th edition of the SASO conference embraces the inter-disciplinarity and the scientific, empirical and application dimensions of self-* systems; it thus aims to attract participants with different backgrounds, to foster cross-pollination between research fields, and to expose and discuss innovative theories, design principles, frameworks, methodologies, tools, and applications.


The topics of interest to SASO include, but are not limited to:

  • Systems theory: nature-inspired and socially-inspired paradigms and heuristics; inter-operation of self-* mechanisms; theoretical frameworks and models; control theory;
  • System properties: robustness; resilience; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness;
  • Systems engineering: reusable mechanisms and algorithms; design patterns; architectures; methodologies; software and middleware development frameworks and methods; platforms and toolkits; multi-agent systems;
  • Theory and practice of organization: self-governance, change management, electronic institutions, distributed consensus, commons, knowledge management, and the general use of rules, policies, etc. in self-* systems
  • Theory and practice of adaptation: mechanisms for adaptation, including evolution, logic, learning; adaptability, plasticity, flexibility
  • Socio-technical systems: human and social factors; visualization; crowdsourcing and collective awareness; humans-in-the-loop; ethics and humanities in self-* systems;
  • Data-driven approaches: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage behavior of complex systems;
  • Self-adaptive and self-organizing hardware: self-* materials; self-construction; reconfigurable hardware;
  • Education: experience reports; curricula; innovative course concepts; methodological aspects of self-* systems education;
  • Applications and experiences with self-* systems in any of the following domains are of particular interest:
    • Smart systems: smart grids, smart cities, smart environments, smart homes, etc.
    • Industrial automation: embedded self-* systems, adaptive industrial plants, Industry 4.0, cyber physical systems
    • Transportation: autonomous vehicles, traffic optimization
    • Autonomous systems: aerial vehicles, undersea vehicles, autonomous robotics
    • Internet of Things: self-* for network management, self-* applied to cyber security