The Vision of Autonomic Computing
Computer
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Organic Computing-Vision and Challenge for System Design
PARELEC '04 Proceedings of the international conference on Parallel Computing in Electrical Engineering
Research challenges of autonomic computing
Proceedings of the 27th international conference on Software engineering
The Case for Automated Planning in Autonomic Computing
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
Using Policies to Drive Autonomic Management
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Accelerating partial-order planners: some techniques for effective search control and pruning
Journal of Artificial Intelligence Research
AMUN-autonomic middleware for ubiquitous environments applied to the smart doorplate project
Advanced Engineering Informatics
Reviving partial order planning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Formal modeling and verification of systems with self-x properties
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
Designing self-healing in automotive systems
ATC'10 Proceedings of the 7th international conference on Autonomic and trusted computing
Utility-based self-adaption with environment specific quality models
ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems
Non-intrusive policy optimization for dependable and adaptive service-oriented systems
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Planning self-adaption with graph transformations
AGTIVE'11 Proceedings of the 4th international conference on Applications of Graph Transformations with Industrial Relevance
Goal distance estimation for automated planning using neural networks and support vector machines
Natural Computing: an international journal
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The increasing complexity of computer-based technical systems require new ways to control them. The initiatives Organic Computingand Autonomic Computingaddress exactly this issue. They demand future computer systems to adapt dynamically and autonomously to their environment. In this paper we propose a new approach based on automated planning to realise self-organising capabilities for complex distributed computing systems. The user/administrator only defines objectives describing the conditions which should hold in the system, whereas the system itself is responsible for meeting them using a planning engine. As many planning algorithms are known to be sound and complete, formal guarantees can be given. Thus we aim at building trusted self-organising distributed computer system which are suitable to control real technical systems. Our approach is demonstrated and evaluated on the basis of a simulated production cell with robots and carts. We propose and evaluate two optimisations.