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SASO 2018 : 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems


Conference Series : Self-Adaptive and Self-Organizing Systems
When Sep 3, 2018 - Sep 7, 2018
Where Trento
Abstract Registration Due Apr 16, 2018
Submission Deadline Apr 23, 2018
Notification Due Jun 4, 2018
Final Version Due Jul 2, 2018
Categories    self-adaptive systems   self-organizing systems   socio-technical self-* systems   self-* systems

Call For Papers



12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems

- SASO 2018 -

September 3-7, 2018

Trento, Italy

Part of FAS* - Foundations and Applications of Self* Systems

Co-located with the IEEE International Conference on Autonomic Computing (ICAC 2018)



The aim of the Self-Adaptive and Self-Organizing Systems conference series (SASO) is to
provide a forum for the presentation and discussion of research on the foundations of
engineered systems that self-adapt and self-organize. The complexity of current and
emerging networks, software, and services can be characterized by issues such as scale,
heterogeneity, openness, and dynamics in the environment. This 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, chemistry,
psychology, sociology, and biology) to find new ways of designing and managing such
computing systems in a principled way. In this endeavor, self-organization and
self-adaptation have emerged as two promising interrelated approaches. They form the basis
of many other so-called self-* properties, such as self-configuration, self-healing, or
self-optimization. SASO aims to be an interdisciplinary meeting, where contributions from
participants with different backgrounds leads to the fostering of a cross-pollination of
ideas, and where innovative theories, frameworks, methodologies, tools, and applications
can emerge.


The twelfth edition of the SASO conference embraces this interdisciplinary nature, and
welcomes novel contributions to both the foundational and application-focused dimensions
of self-adaptive and self-organizing systems research. We are looking for contributions
that present new fundamental understanding of self-adaptive and self-organizing systems
and how they can be engineered and used.

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

- Self-* Systems theory: nature-inspired and socially-inspired paradigms and heuristics;
inter-operation of self-* mechanisms; theoretical frameworks and models; control theory;

- Self-* System properties: robustness; resilience; stability; anti-fragility; diversity;
self-reference and reflection; emergent behavior; computational awareness and

- Self-* 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 self-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 self-adaptation: mechanisms for adaptation, including evolution,
logic, learning; adaptability, plasticity, flexibility;

- Socio-technical self-* systems: human and social factors; visualization; crowdsourcing
and collective awareness; humans-in-the-loop; ethics and humanities in self-* systems;

- 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;
methodological aspects of self-* systems education;

- Applications and experiences with self-* systems: smart grid, smart cities, smart
homes, adaptive industrial plants, cyber-physical systems; autonomous vehicles and
robotics; traffic management; self-adaptive cyber-security; Internet of Things; fog/edge
computing; etc.


Abstract submission: April 16, 2018

Paper submission: April 23, 2018

Notification: June 4, 2018

Camera ready copy due: July 2, 2018

Conference: September 3-7, 2018


Submissions can have up to 10 pages formatted according to the standard IEEE Computer
Society Press proceedings style guide. Please submit your papers electronically in PDF
format using the SASO 2018 conference management system:

The proceedings will be published by IEEE Computer Society Press, and made available as a
part of the IEEE Digital Library. Note that a separate Call for Poster and Demo
Submissions will also be issued. As per the standard IEEE policies, all submissions should
be original, i.e., they should not have been previously published in any conference
proceedings, book, or journal and should not currently be under review for another
archival conference. We would like to also highlight IEEE’s policies regarding plagiarism
and self-plagiarism ( Where relevant and
appropriate, accepted papers will also be encouraged to participate in the Demo or Poster


Papers should present novel ideas in the cross-disciplinary research context described in
this call, motivated by problems from current practice or applied research. Both
theoretical and empirical contributions should be highlighted, substantiated by formal
analysis, simulation, experimental evaluations, or comparative studies, etc. Appropriate
references must be made to related work. Due to the cross-disciplinary nature of the SASO
conference, we encourage papers to be intelligible and relevant to researchers who are not
members of the same specialized sub-field. Authors are also encouraged to submit papers
describing applications. Application papers should provide an indication of the real-world
relevance of the problem that is solved, including a description of the domain, and an
evaluation of performance, usability, or comparison to alternative approaches. Experience
papers are also welcome, especially if they highlight insights into any aspect of design,
implementation or management of self-* systems that would be of benefit to practitioners
and the SASO community. All submissions will be rigorously peer reviewed and evaluated
based on the quality of their technical contribution, originality, soundness,
significance, presentation, understanding of the state of the art, and overall quality.


Antonio Bucchiarone (Fondazione Bruno Kessler, IT)

Alberto Montresor (University of Trento, IT)


Jake Beal (Raytheon BBN Technologies, USA)

Nelly Bencomo (Aston University, UK)

Jean Botev (University of Luxembourg, LU)

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