4th International Workshop on "Self-optimisation in Autonomic and Organic Computing Systems (SAOS16)"


Scope of the Workshop

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



Agenda (Monday, 4th April 2016)


12:30  Welcome  (Tomforde / Universität Kassel)

12:40  Keynote   (Schiele / Universität Duisburg-Essen)

13:15  Towards an Algorithm and Communication Cost Model for the Parallel 
          Particle Swarm Optimization (Shuka / Leibniz Universität Hannover)

13:35  From Active Learning to Dedicated Collaborative Interactive Learning
         (Sick / Universität Kassel)


14:00  Coffee Break


14:30  Multi-k-Resilience in Distributed Adaptive Cyber-Physical Systems 
          (Heck / Universität Kassel)

14:50   Measuring Self-Organisation Processes in Smart Camera Networks
          (Rudolph / Universität Augsburg)

15:15  Combining Trust and ETX to Provide Robust Wireless Sensor Networks
         (Kantert / Leibniz Universität Hannover)

15:35  ''Know thyselves'' - Computational Self-Reflection in Collective
          Technical Systems (Hähner / Universität Augsburg)

16:00  Closing Remarks   (Tomforde / Universität Kassel)

Following this: Treffen der Fachgruppe Organic Computing in der Gesellschaft für Informatik


Expected schedule

Based on the currently available schedule for the ARCS conference, we expect the following schedule for SAOS:

Paper submission deadline: January, 6th 2016 (extended deadline)

Review Deadline:              January, 19th 2016 

Notification:                    January, 21st 2016

Camera Ready Version:     January, 28th 2016

Exact dates depend on the requirements given by the ARCS organisers. We assume that publications will be published by VDE as done for previous events. 







Workshop organisation


Programme committee:

 Further members pending