SAOS 2013 - 1st International Workshop on Self-optimisation in organic and autonomic computing systems

Initiatives like 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 (like 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 will 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.
A special session will further address the question how methods, abstractions and ideas from the (statistical) physics perspective on complex adaptive systems ? with examples coming from nature, society and technology ? can be utilised in the design, modelling and analysis of organic and autonomic computing systems. Special emphasis will be laid on how the recently developed statistical mechanics of networks ? encompassing complex and dynamic structures ? can facilitate the design of robust and adaptive computing architectures that inherit some of the remarkable properties of natural systems. An important aim is to strengthen the ties between complementary research communities that otherwise rarely get in contact.
Part A: Architectural concepts for self-optimising behaviour
Observer/Controller architectures
Autonomic concepts
Artificial Hormone Systems
Collaborative optimisation architectures
Part B: Algorithms and methods for self-optimisation
Applications of machine learning techniques to real-world problems
Customisation of machine learning
Collaborative task-solving
Trust as performance-relevant technique in technical systems
Fitness landscape characterisation
Performance issues in online optimisation
Security issues in collaborative self-optimisation
Programming environments
Part C: Applications for self-optimisation
Applications with self-optimising system behaviour, i.e. from the following domains:
Robotics
Energy
Traffic
Smart homes
Communication
Sensor/Actuator networks
Part D: SPECIAL SESSION on “Complex Sciences in the Engineering of Computing Systems
Complex systems approaches in the design and analysis of organic and autonomic computing systems
Applications of network science to self-organised formation and optimisation of communication networks and P2P topologies
Applications of network science and graph theory in the assessment of resilience, robustness and trust in organic computing systems
Use of physics-inspired models and abstractions in systems engineering and analysis
Monte-Carlo methods for run-time adaptation and optimisation
Application of non-linear models for synchronisation and consensus phenomena
Probabilistic protocols for information diffusion and aggregation
Quantitative approaches to model and analyse emergent system properties
Modelling and analysis of dynamics on and of P2P, ad hoc and other communication networks
Workshop details
The Workshop is held in conjunction with the 26th International Conference on Architecture of Computing Systems (ARCS 2013)
Held from February 19th to 22nd
In Prague, Czech Republic
ARCS 2013 homepage:ARCS 2013