The first edition of the International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) will take place in Washington DC from August 17 to August 21, 2020. The ACSOS was founded as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). The goal of the ACSOS is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation, and self-organization.
Large-scale systems of all types, such as data centers, computer clouds, smart cities, cyber-physical systems, sensor networks, and embedded or pervasive environments, are becoming increasingly complex and burdensome for people to manage. 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 resource 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, a number of research problems and challenges exist related to engineering systems, networks, and services based on principles from autonomic computing, self-adaptation, and self-organization. One challenge in self-adaptation is to identify how to change specific behavior to achieve the desired improvement in a reliable manner. Another challenge is how to predict and control emergent global system behavior resulting from self-organization. To address these challenges, novel modeling techniques are needed that help to understand the mapping from local behavior to global behavior, as well as the inverse relationship. Such models are a key condition for understanding, controlling, and designing emergent behavior in autonomic systems.
The mission of ACSOS is to bring together researchers and industry practitioners that address these challenges to make resources, applications, and systems more autonomic, self-adaptive and self-organizing. ACSOS provides a forum to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research in all areas related to autonomic computing, self-adaptation, and self-organization.
Call for Papers
The goal of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO).
The complexity of current and emerging networks, software, and services can be characterized by issues such as scale, heterogeneity, openness, and dynamics, both internally and in the environment. These issues have led the software engineering, distributed systems, and systems management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, machine learning, chemistry, psychology, sociology, and biology) to find new ways of designing and managing such computing systems in a principled way. Yet challenges remain to build autonomic systems that exhibit the desirable self-* properties (i.e., self-organizing, self-adaptive, self-healing, self-aware, etc).
The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive, and self-organising. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, posters, demos, and a doctoral symposium.
We invite novel contributions related to the fundamental understanding of autonomic computing, self-adaption and self-organization along with principles and practices of their engineering and application. The topics of interest include, but are not limited to:
- Autonomic and Self-* system properties: robustness; resilience; resource efficiency; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness;
- Autonomic and Self-* systems theory: bio-inspired and socially-inspired paradigms and heuristics; theoretical frameworks and models; formal languages; queuing and control theory; requirement and goal expression techniques; uncertainty as a 1st class entity
- Autonomic and Self-* systems engineering: reusable mechanisms and algorithms; design patterns; programming languages; architectures; operating systems and middleware; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems;
- Data-driven management: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage the behavior of complex systems or establishing self-awareness;
- Mechanisms and principles for self-organisation and self-adaptation: inter-operation of self-* mechanisms; evolution, logic, and learning; addressing large-scale and decentralized systems;
- Socio-technical self-* systems: human and social factors; visualization; crowdsourcing and collective awareness;
- Hardware concepts for autonomic computing systems: self-* materials; self-construction; reconfigurable hardware;
- Cross disciplinary research: approaches that draw inspiration from complex systems, organic computing, artificial intelligence, chemistry, psychology, sociology, and biology.
We invite research papers applying autonomic and self-* approaches to a wide range of application areas, including:
- smart grids, smart cities, homes, and manufacturing; cyber-physical systems; autonomous vehicles and robotics; traffic management; self-adaptive cybersecurity; Internet of Things; cloud computing and data centers; fog/edge computing; hypervisors, operating systems, and middleware.
Research papers will be accepted as either long papers up to 10 pages or short papers up to 7 pages (including references) and formatted according to the standard IEEE Computer Society Press proceedings style guide.
Please submit your papers electronically in PDF format using the ACSOS 2019 conference management system: https://acsos20.hotcrp.com/
Note that separate calls for Poster, Demo, and In-Practice Report Submissions will also be issued, as well as a call for participation in the Doctoral Symposium.
The proceedings will be published by IEEE Computer Society Press and made available as a part of the IEEE Digital Library. 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: (https://www.ieee.org/publications/rights/plagiarism/id-plagiarism.html). Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions.
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. Appropriate references must be made to related work. Due to the cross-disciplinary nature of the ACSOS 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 ACSOS 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.
The conference organizers will select one paper to be awarded the Karsten Schwan Best Paper Award. Selected papers may also be invited for publication in a special issue journal on autonomic computing and self organizing systems.
April 1, 2020: Abstract submission deadline
April 8, 2020: Paper submission deadline
June 8, 2020: Notification to authors
July 8, 2020: Camera Ready Deadline
August 17-21, 2020: ACSOS Conference
PDF version of the CfP.