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The ubiquitous centralised feedback control architectural model has been widely adopted in autonomic systems engineering. However, this type of model suffers from a lack of scalability as for instance, the number of managed elements increase. Additionally, the emergent nature of complex systems can quickly render design-based models inaccurate. Alternative approaches based on self-organising systems...
Metrics of network structure obtained using graph theory can provide valuable insights into the functioning and overall operation of neuronal networks in the brain. The objectives of this paper are to highlight the shortcomings of commonly used network structure metrics in the study of functional connectivity networks today and to propose a methodology for deriving more sensitive metrics which may...
A theoretical framework for formulating and implementing model-based monitoring of discrete flow networks is discussed. Possible flows of items are described as the sequence of discrete-event (DE) traces. Each trace defines the DE sequence(s) that are triggered when an entity follows a given flow-path and visits tracking locations distributed within the monitored system. Given the set of possible...
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