Main TrackACSOS 2022

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).

Emerging large-scale systems (including data centers, cloud computing, smart cities, cyber-physical systems, sensor networks, and embedded or pervasive environments) are becoming increasingly complex, heterogeneous, and difficult to manage. The challenges of designing, controlling, managing, monitoring, and evolving such complex systems in a principled way led the scientific community to look for inspiration in diverse fields, such as biology, biochemistry, physics, complex systems, control theory, artificial intelligence, and sociology. To address these challenges novel modeling and engineering techniques are needed that help to understand how local behavior and global behavior relate to each other. Such models and practices are a key condition for understanding, controlling, and designing the emergent behavior in autonomic and self-adaptive systems.

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-organizing. 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, vision papers, posters, demos, and a doctoral symposium.

Accepted Papers

	Title
	Adaptive Control of Data Center Cooling using Deep Reinforcement Learning Main Track Albin Heimerson, Johannes Sjölund, Rickard Brännvall, Jonas Gustafsson, Johan Eker
	Addressing Collective Computations Efficiency: Towards a Platform-level Reinforcement Learning Approach Main Track Gianluca Aguzzi, Roberto Casadei, Mirko Viroli
	A Framework for Adapting Machine Learning Components Main Track Maria Casimiro, Paolo Romano, David Garlan, Luis Rodrigues
	A generic and modular architecture for self-explainable smart homes Main Track Étienne Houzé, Ada Diaconescu, Jean-Louis Dessalles, David Menga
	A Modular and Composable Approach to Develop Trusted Artificial IntelligenceBest Paper Candidate Main Track Michael Langford, Betty H.C. Cheng
	A Systematic Review of Fault Tolerance Techniques for Adaptive and Context-aware Systems Main Track Kathiani Souza, Fabiano Ferrari
	Automatic Differentiation over Fluid Models for Holistic Load Balancing Main Track Albin Heimerson, Johan Ruuskanen, Johan Eker
	BLOC: Balancing Load with Overload Control In the Microservices ArchitectureKarsten Schwan Best Paper Award Main Track Ratnadeep Bhattacharya, Timothy Wood
	Detecting and Mitigating Jamming Attacks in IoT Networks Using Self-Adaptation Main Track Maxim Reynvoet, Omid Gheibi, Federico Quin, Danny Weyns
	Explaining Online Reinforcement Learning Decisions of Self-Adaptive SystemsBest Paper Candidate Main Track Felix Feit, Andreas Metzger, Klaus Pohl
	FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning Main Track Shuang Zhou, Yuankai Huo, Shunxing Bao, Bennett Landman, Anirüddhā Gokhālé
	Of Diamonds, Rings, and Bracelets: Local Values of the Response Parameter can Increase the Synchronization Probability in Pulse-Coupled Oscillators Main Track Arke Vogell, Udo Schilcher, Jorge Schmidt, Christian Bettstetter
	On Evaluating Self-Adaptive and Self-Healing Systems using Chaos Engineering Main Track Syed Moeen Ali Naqvi, Sehrish Malik, Merve Astekin, Leon Moonen
	On the Dynamic Evolution of Distributed Computational Aggregates Main Track Giorgio Audrito, Roberto Casadei, Gianluca Torta
	Performance Variability and Causality in Complex Systems Main Track Anwesha Das, Daniel Ratner, Alex Aiken
	Rango: An Intuitive Rule Language for Learning Classifier Systems in Cyber-Physical SystemsBest Paper Candidate Main Track Melanie Feist, Martin Breitbach, Heiko Trötsch, Christian Becker, Christian Krupitzer
	Reducing the Tail Latency of Microservices Applications via Optimal Configuration Tuning Main Track Gagan Somashekar, Amoghavarsha Suresh, Saurabh Tyagi, Vikas Dhyani, Krishna Donkada, Anurag Pradhan, Anshul Gandhi
	Self-stabilising Priority-Based Multi-Leader Election and Network Partitioning Main Track Danilo Pianini, Roberto Casadei, Mirko Viroli
	SHIL: Self-Supervised Hybrid Learning for Security Attack Detection in Containerized Applications Main Track Yuhang Lin, Olufogorehan Tunde-Onadele, Jingzhu He, Xiaohui Gu, Hugo Latapie
	The Impact of Multi-scale Control Topology on Asset Distribution in Dynamic Environments Main Track Payam Zahadat, Ada Diaconescu
	Towards an Evaluation Framework for Autonomous Systems Main Track Andrea Bombarda, Silvia Bonfanti, Martina De Sanctis, Angelo Gargantini, Patrizio Pelliccione, Elvinia Riccobene, Patrizia Scandurra
	Towards Antifragility in Contested Environments: Using Adversarial Search to Learn, Predict, and Counter Open-Ended Threats Main Track Saad Sajid Hashmi, Hoa Khanh Dam, Peter Smet, Mohan Baruwal Chhetri
	Towards High-Quality Battery Life for Autonomous Mobile Robot Fleets Main Track Akshar Chavan, Marco Brocanelli

Call for Papers

Important Dates

Abstract Submission Deadline:  	May 13th, 2022 (extended)
Paper Submission Deadline: 	May 20th, 2022 (extended)
Notification to Authors: 	July 2nd, 2022
Camera Ready: 			August 18th, 2022 (extended)
ACSOS Conference: 		September 19th-23rd, 2022

All times in Anywhere on Earth (AoE) timezone.

Scope

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; efficient resource management; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness;
• Autonomic and Self-* systems theory: bio-inspired work and socially-inspired paradigms and heuristics; theoretical frameworks and models; languages and formal methods; queuing and control theory; requirement and goal expression techniques; uncertainty as a first class entity;
• Autonomic and Self-* systems engineering: reusable mechanisms and algorithms; design patterns; programming languages; architectures; operating systems and middlewares; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems;
• Autonomic and Self-* systems practice: case studies from industry, experimental setups and data sets, experience reports with established autonomic and self-* software;
• Data-driven management and artificial intelligence: data mining; machine learning; in-network learning; distributed reinforcement 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 system; moving the decision logic to the edge of the cloud continuum;
• Socio-technical self-* systems: human and social factors; visualization; crowdsourcing and collective awareness;
• Autonomic and self-* concepts applied to hardware systems: self-* materials; self-construction; reconfigurable hardware, self-* properties for quantum computing;
• Self-adaptive cybersecurity: intrusion detection, malware attribution, zero-trust networks and blockchain-based approaches, privacy in self-* systems;
• Cross disciplinary research: approaches that draw inspiration from complex systems, artificial intelligence, physics, chemistry, psychology, sociology, biology, and ethology.

We invite research papers applying autonomic and self-* approaches to a wide range of application areas, including (but not limited to):

• smart environments: -grids, -cities, -homes, and -manufacturing;
• Internet of things and cyber-physical systems;
• robotics, autonomous vehicles, and traffic management;
• cloud (including serverless), fog/edge computing, High Performance Computing (HPC), quantum computing and data centers;
• hypervisors, containerization services, orchestration, operating systems, and middleware;
• biological and bio-inspired systems.

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.

Submission Instructions

Research papers (up to 10 pages including images, tables, and references) should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research.

Experience Reports (up to 10 pages including images, tables, and references) cover innovative implementations, novel applications, interesting performance results and experience in applying recent research advance to practical situations on any topics of interest.

Vision Papers (up to 6 pages including images, tables, and references) introduce ground-shaking, provocative, and even controversial ideas; discuss long term perspectives and challenges; focus on overlooked or underrepresented areas, and foster debate.

All submissions must indicate a primary and (optionally) a secondary topic area from the following list:

• RM: Resource Management in Data Centers and Cloud Computing
• CPS: Cyber-Physical Systems (CPS) and Internet of Things (IoT)
• SOSA: Theory and Practice of Self-Organization, Self-Adaptation, and Organic Computing
• ENG: Software and Systems Engineering for Autonomic and Self-Organizing Systems
• SYS: Systems theory for Autonomic and Self-Organizing Systems
• DATA: Data-Driven Approaches to Autonomic and Self-Organizing Systems Analysis and Management
• NEW: Emerging Computing Paradigms
• SOC: Socio-technical Autonomic and Self-Organizing Systems
• LANG: Languages and Formal Methods for Autonomic and Self-Organizing Systems
• COG: Self-Aware, Reflective, and Cognitive Computing
• APP: Application Areas for Autonomic and Self-Organizing Systems such as Autonomous Vehicles, Smart Cities, Swarms, etc.
• REL: Assurances, security, resilience, and reliability of Autonomic and Self-Organizing Systems
• CROSS: Cross-disciplinary research on e.g., complex systems, control theory, artificial intelligence, chemistry, psychology, sociology, and biology

All submissions are required to be formatted according to the standard IEEE Computer Society Press proceedings style guide. Papers are submitted electronically in PDF format through the ACSOS 2022 conference management system: https://easychair.org/conferences/?conf=acsos2022

Research papers, experience reports, and vision papers will be included in the conference proceedings that 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.

Best papers

We intend to continue the tradition of giving the best papers of the conference an opportunity to publish an extended version in a special issue of ACM Transactions on Autonomous and Adaptive Systems (TAAS). The Karsten Schwan Best Paper Award will be awarded to a selected paper.

Review Process

All submissions will be subject to a rigorous single-blind peer-review and evaluated based on the following criteria:

Research papers

• Soundness: The extent to which the paper’s contributions and/or innovations address its research questions and are supported by rigorous application of appropriate research methods (e.g., formal analysis, simulation, experimental evaluations, or comparative studies).
• Significance: The extent to which the paper’s contributions can impact one or more of the research areas related to ACSOS, and under which assumptions (if any). In this respect, research 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, and/or comparison to alternative approaches.
• Novelty: The extent to which the contributions are sufficiently original with respect to the state-of-the-art.
• Verifiability and Transparency: The extent to which the paper includes sufficient information to understand how an innovation works; to understand how data was obtained, analyzed, and interpreted; and how the paper supports independent verification or replication of the paper’s claimed contributions.
• Presentation: The extent to which the paper is well written, including clear descriptions, as well as adequate use of the English language, absence of major ambiguity, clearly readable figures and tables, and adherence to the formatting instructions provided below. 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.

Experience reports should provide insights into some aspect of design, implementation or management of self-* systems that would be of benefit to practitioners and the ACSOS community. Experience reports will be evaluated according to the same criteria defined for research papers, with a greater emphasis on verifiability and transparency.

Vision Papers should introduce innovative, risky, visionary, and provocative ideas, spotlighting overlooked areas, raising controversial points, and exploring cross-disciplinary contaminations. Vision papers will be evaluated according to the following criteria:

• Significance: The extent to which the paper’s contributions can impact one or more of the research areas related to ACSOS, and under which assumptions (if any). In this respect, research papers should provide an indication of the real-world relevance of the problem that is solved, including a description of the domain.
• Novelty: The extent to which the contributions are original with respect to the state-of-the-art.
• Soundness: The extent to which the contribution proposed in the paper is valid and potentially adequate to address the defined problem.
• Presentation: The extent to which the paper is well written, including clear descriptions, as well as adequate use of the English language, absence of major ambiguity, clearly readable figures and tables, and adherence to the formatting instructions provided below. 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.

Based on the review process outcome, research and experience papers can be accepted as full papers or as short papers. As for this last case, authors will be asked to shorten their submissions to 6 pages. The reviews will provide suggestions on how to shorten them. Short papers will be published in the ACSOS companion proceedings.

Camera Ready Submissions