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Furthermore, the send-and-receive mechanism of our engine allows for the correlation of engine-replayed and IUT-forwarded packets as well as the verification of IUT actions on detected attacks. This article refines the process of selection of a suitable video content adaptation strategy, the former to return best or fittest solutions that have evolved over many generations and the latter to evaluate and rank each generation's solutions against a set of objectives without the need to assign weights to each one. In order to make the refined process dynamic, it pursues its implementation using Self-Organising Neural Networks. We conclude by discussing the implications of our findings for the design of future distributed applications, the likely influence of other factors and of extreme parameter values on the ability of the system to self-organize and the potential improvements to our framework.In this paper, we investigate the global self-aggregation dynamics arising from local decision-based rewiring of an overlay network, used as an abstraction for an autonomic service-oriented architecture.The Capsule Reviews are intended to provide a short succinct review of each paper in the issue in order to bring to a wider readership. Finally, we introduce dynamic goals by making the preferred neighbour type a function of the local characteristics of a simulated workload. We demonstrate that in this context, an overlay rewiring process based purely on local decisions and interactions can result in efficient load-balancing without central planning. The outcome of this is a Pareto front of optimal strategies, all of which would satisfy the objectives. We measure the ability of a selected set of local rules to foster self-organization of what is originally a random graph into a structured network. In this way, replayed packets conform to the specific features of the IUT. To effectively thwart attacks, IPSs have to operate both in real-time

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