Samuel Kounev elected as IEEE ACSOS SC Co-Chair15.07.2019
Samuel Kounev was elected as Co-Chair of the Steering Committee of the new IEEE ACSOS Conference, a merger of the IEEE ICAC and IEEE SASO conferences. Christian Krupitzer was appointed to serve as Publicity & Administration Assistant for the new conference.
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 2019 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). ICAC and SASO are both established conferences. ICAC had its 16th edition in 2019 and SASO its 13th edition. The first ACSOS conference will be held in Autumn 2020 in Washington, D.C.
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 a 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-organising. 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.