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The distribution of optimal strategies on a Pareto front, however, suggests that there may be a ‘best-fit’ optimal strategy. 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 order to make the refined process dynamic, it pursues its implementation using Self-Organising Neural Networks. The Capsule Reviews were compiled by Fairouz Kamareddine. 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. This article refines the process of selection of an optimal strategy by taking into account this distribution alongside user preferences, video content characteristics and usage history.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.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.. Finally, we introduce dynamic goals by making the preferred neighbour