Resilient computing systems; vol. 1
Resilient computing systems; vol. 1
Basic Concepts and Taxonomy of Dependable and Secure Computing
IEEE Transactions on Dependable and Secure Computing
Performance of digital pheromones for swarming vehicle control
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Design patterns from biology for distributed computing
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Design patterns for decentralised coordination in self-organising emergent systems
ESOA'06 Proceedings of the 4th international conference on Engineering self-organising systems
Programming MAS with artifacts
ProMAS'05 Proceedings of the Third international conference on Programming Multi-Agent Systems
Multiswarms, exclusion, and anti-convergence in dynamic environments
IEEE Transactions on Evolutionary Computation
Robustness and scalability: a dual challenge for autonomic architectures
Proceedings of the Fourth European Conference on Software Architecture: Companion Volume
Metrics for QoS analysis in dynamic, evolving and heterogeneous connected systems
Proceedings of the Eighth International Workshop on Dynamic Analysis
Concepts in complexity engineering
International Journal of Bio-Inspired Computation
A method fragments approach to methodologies for engineering self-organizing systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Dependability in dynamic, evolving and heterogeneous systems: the connect approach
Proceedings of the 2nd International Workshop on Software Engineering for Resilient Systems
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This paper analyses the robustness of self-organizing (engineered) systems to perturbations (faults or environmental changes). It considers that a self-organizing system is embedded into an environment, the main active building blocks are agents, one or more self-organizing mechanisms regulate the interaction among agents, and agents manipulate artifacts, i.e. passive entities maintained by the environment. Perturbations then need to be identified at the level of these four design elements. This paper discusses the boundaries of normal and abnormal behaviour in self-organizing systems and provides guidelines for designers to determine which perturbation in which part of the system leads to a failure.