Handbook of graph grammars and computing by graph transformation: volume I. foundations
Handbook of graph grammars and computing by graph transformation: volume I. foundations
Towards architecture-based self-healing systems
WOSS '02 Proceedings of the first workshop on Self-healing systems
Model-based adaptation for self-healing systems
WOSS '02 Proceedings of the first workshop on Self-healing systems
Self-organising software architectures for distributed systems
WOSS '02 Proceedings of the first workshop on Self-healing systems
An Architecture-Based Approach to Self-Adaptive Software
IEEE Intelligent Systems
Deployment and Dynamic Reconfiguration Planning for Distributed Software Systems
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Proceedings of the conference on Design, automation and test in Europe - Volume 2
A planning based approach to failure recovery in distributed systems
WOSS '04 Proceedings of the 1st ACM SIGSOFT workshop on Self-managed systems
Design of self-managing dependable systems with UML and fault tolerance patterns
WOSS '04 Proceedings of the 1st ACM SIGSOFT workshop on Self-managed systems
A Framework for Constraint-Based Deployment and Autonomic Management of Distributed Applications
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Friends or foes?: a conceptual analysis of self-adaptation and it change management
Proceedings of the 2008 international workshop on Software engineering for adaptive and self-managing systems
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The dependability of a software system can be improved by online redeployment of failed software components using appropriate system self-repair actions. The effect of different self-repair actions can vary to a great extent w.r.t. the resulting temporary service unavailability and reduced redundancy of services. We therefore developed an approach to efficiently compute self-repair actions which realize requested repair steps in a nearly optimal manner. We show that our approach achieves a suitable compromise between the usually infeasible optimal deployment modification w.r.t. damage minimization and repair time minimization by presenting a number of simulation results.