Plan reuse versus plan generation: a theoretical and empirical analysis
Artificial Intelligence - Special volume on planning and scheduling
The Vision of Autonomic Computing
Computer
A Lazy Monitoring Approach for Heartbeat-Style Failure Detectors
ARES '08 Proceedings of the 2008 Third International Conference on Availability, Reliability and Security
FBIT '07 Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies
Organic Control of Traffic Lights
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
A Two-Layered Management Architecture for Building Adaptive Real-Time Systems
SEUS '08 Proceedings of the 6th IFIP WG 10.2 international workshop on Software Technologies for Embedded and Ubiquitous Systems
The FF planning system: fast plan generation through heuristic search
Journal of Artificial Intelligence Research
Implementing and Evaluating the AHS Organic Middleware - A First Approach
ISORC '10 Proceedings of the 2010 13th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing
Using an Automated Planner to Control an Organic Middleware
SASO '11 Proceedings of the 2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems
ORCA – towards an organic robotic control architecture
IWSOS'06/EuroNGI'06 Proceedings of the First international conference, and Proceedings of the Third international conference on New Trends in Network Architectures and Services conference on Self-Organising Systems
Spatial computing: the TOTA approach
Self-star Properties in Complex Information Systems
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The administration of complex distributed systems is complex and therefore time-consuming. It becomes crucial to evolve techniques to speed up reaction times and support embedded nodes. Higher mammals use reflexes to ensure fast reactions in critical situations. This paper devolves this behavior to the organic middleware OCµ. With in this middleware an Automated Planner is used to administrate a distributed system. A new component called Reflex Manager is responsible to store its solutions. If the system reaches a state, that is similar to an already known one, the Reflex Manager uses its knowledge to quickly provide a solution. Conflicts between plans from the planner and the Reflex Manager are resolved by comparing and switching plans. Finally we discuss possible generalizations of our ideas.