SAOS 2016 - 4th International Workshop on Self-Optimisation in Autonomic and Organic Computing Systems

Initiatives such as Autonomic Computing (AC) and Organic Computing (OC) are based on the insight that we are increasingly surrounded by large collections of autonomous systems, which are equipped with sensors and actuators, aware of their environment, communicating freely, and organising themselves in order to perform the required actions and services. The presence of networks of intelligent systems in our environment opens fascinating application areas but, at the same time, bears the problem of their controllability.
Hence, different design concepts (such as the MAPE cycle and the Observer/Controller framework) have been developed to allow for a self-organised control process at runtime that relieves the designer from specifying all possibly occurring situations and configurations within the design process. Instead, the system itself takes over responsibility to find proper reactions on perceived changes in the environmental conditions. As designers are not able to foresee all possibly occurring situations and circumstances the system will face during its operation time, the self-organisation process of the system has to focus on self-optimising the system’s behaviour. Such self-optimising behaviour can be achieved at various levels of the system’s design, ranging from basic control architectures over self-organised coordination or collaboration methods and domain-specific optimisation techniques to the application and customisation of machine learning algorithms. Furthermore, several related topics (e.g. trust and security in collaborative systems) provide necessary functionality to enable self-optimising behaviour in AC and OC systems.
In this workshop, we will discuss current concepts that help to develop self-optimising system behaviour. Thereby, a special focus will be set on current trends ? especially in terms of large-scale interconnected systems. Submissions of papers are expected to refer to one of the following categories:
1. Architectural concepts for self-optimising behaviour
2. Algorithms and methods for runtime optimising
3. Security and Privacy issues related to self-optimisation
4. Applications and application scenarios for self-optimisation techniques
5. Current activities about self-optimisation in the context of Interwoven
Systems