PDF document of the CFP.

Aims and Motivation

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.

Scope

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-awareness;
• 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.

Important Dates

Submission Instructions

Submissions can have up to 10 pages formatted according to the standard IEEE Computer Society Press proceedings style guide (see templates here). Please submit your papers electronically in PDF format using the SASO 2018 conference management system:
https://easychair.org/conferences/?conf=saso2018.

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 (http://www.ieee.org/publications_standards/publications/rights/ID_Plagiarism.html).

Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions.

Review Criteria

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.

Contact Information

Conference General Chairs

Antonio Bucchiarone,
Fondazione Bruno Kessler, IT

Alberto Montresor,
University of Trento, IT

Program Chairs

Jake Beal,
Raytheon BBN Technologies, USA

Nelly Bencomo,
Aston University, UK

Jean Botev,
University of Luxembourg, LU