Part of FAS* - Foundations and Applications of Self* Systems
Co-located with:
IEEE 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.

Local Information

The conference will be located in the Student Union at The University of Arizona. The full address of the Student Union is 1303 E. University Blvd, Tucson, AZ 85719. You can find more information on the Student Union from and Student Union map from You can also find a detailed University of Arizona map from If you are renting a car and looking for a parking place, there is a big garage (called 2nd Street Garage) next to the Student Union. However, it may be filled early, relatively. There are also other garages available in walking distance (5-10 min of walking). You can get more information on the fees and locations through:

Unfortunately, there are some cases that some authors/attendees were not able to get a visa yet, hence they will not be able to attend. As previously mentioned, for such cases, we will be providing online attendance/presentation service (live stream and/or recorded video). If you have not contacted us regarding to this, please contact us as soon as possible so that we can discuss the possible solutions.


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

Remote Attendance

This year's conference is scheduled to take place in the United States. We recognize that due to the current or potential future actions of the United States government, some people may be unable or fearful to attend. We have considered moving the conference to another country, but recognize that that will not resolve the situation, as some people may likewise be unable to safely leave the United States. Therefore, for any person who wishes to participate but is unable to do so due to the travel restrictions imposed by the United States government, we will be offering a "remote attendance" registration at a discounted rate, to be announced at a later point in time. Authors with accepted papers will be able to present their work remotely, complying with IEEE presentation requirements, and we are investigating videoconferencing solutions for streaming to remote attendees.