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In order to make the refined process dynamic, it pursues its implementation using Self-Organising Neural Networks.ArrayThe Capsule Reviews are intended to provide a short succinct review of each paper in the issue in order to bring to a wider readership. Scalability issues with respect to the key parameters of system size and diversity are extensively discussed.Genetic Algorithms may be used together with Pareto Optimality in the process of selection of an optimal strategy by taking into account this distribution alongside user preferences, video content characteristics and usage history. The distribution of optimal strategies on a Pareto front, however, suggests that there may be a ‘best-fit’ optimal strategy. Finally, we introduce dynamic goals by making the preferred neighbour type a function of the local characteristics of a simulated workload.. 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. 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. The Capsule Reviews were