SASO 2017 is now accepting paper submissions. Come and join us in Arizona!
Aims and ScopeThe 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 for 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 eleventh edition of the SASO conference embraces this inter-disciplinary nature, and welcomes novel contributions to both the foundational and application-focused dimensions of self-adaptive and self-organizing systems research. The topics of interest 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
Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions.
|Abstract submission||May 1, 2017|
|Paper submission||May 10, 2017|
|Notification||June 30, 2017|
|Camera ready copy due||July 12, 2017|
|Conference||September 18-22, 2017|
Submission InstructionsSubmissions can be up to 10 pages, formatted according to the standard IEEE Computer Society Press proceedings style guide, and submitted electronically in PDF format. Please submit your papers using the SASO 2017 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 also highlight IEEE’s policies regarding plagiarism and self-plagiarism (http://www.ieee.org/.../ID_Plagiarism.html).
Review CriteriaPapers 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. Because SASO is a cross-disciplinary 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.
Conference General ChairAda Diaconescu Telecom Paris-Tech, Paris, FR
Program ChairsPeter Lewis, Aston University, Birmingham, UK
Sam Malek, University of California, Irvine, USA
Hella Seebach, Augsburg University, Augsburg, DE