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6th International Workshop on

"Self-Optimisation in Autonomic &
Organic Computing Systems"

SAOS@ARCS 2018

Braunschweig, Germany, 09 - 10 April 2018

 

Call for Papers

 

Keynote Announcement

Kirstie L. Bellman, Topcy House Consulting

Title:

t.b.a.

Abstract:

t.b.a.

 

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 to 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 pursue a steadily self-optimising behaviour. Self-optimising behaviour can be triggered at various levels of the system’s design, ranging from basic control architectures over self-organised coordination/collaboration methods as well as from domain-specific optimisation techniques to the application of machine learning algorithms. Furthermore, related topics such as 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 endeavour the establishment of self-optimising system behaviour. Thereby, a special focus will be set on observable trends and upcoming challenges, resulting from well-known issues of adjacent domains such as evolutionary optimisation or machine learning.

Contributions are expected to focus on at least one of the following categories:

A.   Architectural concepts for enabling self-optimising system behaviour
B.   Applied machine learning and optimisation algorithms to achieve  
      self-optimisation
C.   Novel application scenarios for self-optimising systems
D.   Current trends/challenges in the field of self-optimising interconnected
      systems

 

Important Dates

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

Paper submission deadline:            December 22nd, 2017

Decision notification:                    January 26th, 2018

Camera-ready version:                 February 2nd, 2018

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

 

Submission

 

Workshop organisation

 

Programme committee (to be completed)