5th International Workshop on

"Self-Optimisation in Autonomic &
Organic Computing Systems"


Vienna, Austria, 03 - 04 April 2017


Instructions for Presentations:

The presenting authors are asked to prepare a
20 minute talk for discussing the work of their
accepted papers.

The timeslots for the respective presentations
are given in the below agenda.


Call for Papers


Keynote Announcement
Dr. Jean Botev, University of Luxembourg

Collective Dynamics and Self-Optimisation in Large-Scale Networked Computer Systems

Today’s networked computer systems have reached a complexity and scale that pushes existing modes of operation to their limits and beyond. Developing adequate self-adaptation and self-optimisation mechanisms therefore is vital for the reliable and robust provision of services and maintenance of the underlying system infrastructures.
Cross-layer and system-of-systems aspects present further challenges in their design. Understanding and taking advantage of the collective dynamics in such systems is crucial for implementing decentralized, self-organized solutions.
In this talk I will discuss fundamental issues and approaches for environments characterized by a high degree of uncertainty and unpredictability.

Dr. Botev is a senior researcher at the Computer Science and Communications (CSC) research unit of the Faculty of Science, Communication and Technology (FSTC) at the University of Luxembourg.
His background is in Computer Science and Media Studies. Before joining the University in 2009, he was at the University of Trier (Germany) and City University, London (UK). His research interests include complex networks, self-organization, and collaborative socio-technical systems.


Scope of the Workshop

Initiatives such as Autonomic Computing (AC) and Organic Computing (OC), or the more general research field of self-adaptive and self-organising systems (SASO), 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 in an adequate and robust manner. The resulting presence of networks of intelligent systems in our daily 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 concepts to enable self-optimising behaviour in SASO systems. In this workshop, we will discuss current research efforts that help to develop self-optimising system behaviour. Thereby, a special focus will be set on current trends and challenges, e.g. from the domain of evolutionary optimization and machine learning – especially in terms of large-scale interconnected systems with their specific characteristics. Paper submissions are expected to focus at least on one of the following categories:

1. Architectural concepts for enabling systems to exhibit self-optimising 

2. Machine Learning and Optimisation algorithms and methods for achieving
    self-optimising behaviour

3. Security and privacy issues related to self-optimising behaviour

4. Applications and novel scenarios for self-optimisation techniques

5. Identification of current trends/challenges in the field of self-optimising
    interconnected systems



Monday, April 03
12:45 PM 1:00 PM Anthony Stein (University of Augsburg)  
  Welcome and Organisation  

Session 1

Collaboration and Trust


1:00 PM 1:30 PM Stefan Rudolph (University of Augsburg)  
      "Towards Discovering Delayed Mutual Influences in Organic Computing Systems"
1:30 PM 2:00 PM Jan Kantert (Leibniz University Hannover)  
  "Incentive-oriented Task Assignment in Holonic Organic Systems"  
2:00 PM 2:30 PM Sarah Edenhofer (University of Augsburg)  
    "Bottom-up Norm Creation in Open Distributed Computing Grids by Means of XCS"


Coffee Break (2:30 - 3:00 PM)


Session 2 

Keynote & Discussion


3:00 PM 3:45 PM Keynote: Jean Botev (University of Luxembourg):  
  "Collective Dynamics and Self-Optimisation in Large-Scale Networked Computer Systems"


3:45 PM Discussion: Moderation by Anthony Stein (University of Augsburg)  
    “Current Trends and Open Challenges in Organic and Autonomic Computing Systems"


Tuesday, April 04

Session 3

Application of OC/AC Principles


9:30 AM 10:00 AM

Andreas Lund (Johann Wolfgang Goethe-University Frankfurt)

  "Task-Allocation in a Hierarchical Network topology by means of an organic middleware"
10:00 AM 10:30 AM  Stefan Rudolph (University of Augsburg)  
     "Pick Again: Self-Adaptive Warehouse Commissioning"    



Coffee Break (10:30 - 11:00 AM)


Session 4

Novel Concepts 


11:00 AM 11:30 AM

Christian Gruhl (University of  Kassel)

    "A Concept for Intelligent Collaborative Network Intrusion Detection"  
11:30 AM 12:00 PM Christian Gruhl (University of Kassel)  
  "A Concept for Self-adapting and Self-learning Traffic Offloading in Cellular Networks"
12:00 PM    Closing Remarks: Anthony Stein (University of Augsburg)    


Expected schedule

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

Paper submission deadline: December, 23rd (tentative)
Paper submission deadline (extended): January 18th, 2017

Notification of acceptance (new): February 6th, 2017

Camera Ready Version due (new): February 15th, 2016

We assume that publications will be published by VDE as done for previous events.




Workshop organisation


Programme committee: