2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2021
Our hearts go out to all those who may be battling COVID-19. As a consequence of the unpredictable progress of the pandemic situation, the Organizing Committee decided that the ACSOS 2021 conference will take place virtually on the original dates.
We are happy to announce that the second edition of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) will take place
in Washington DC virtually from September 27 to October 1, 2021. 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.
For more information, visit the following pages: