Give Us the Young (Control of Science and Religion)

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 were compiled by Fairouz Kamareddine. The outcome of this is a Pareto front of optimal strategies, all of which would satisfy the objectives.Genetic Algorithms may be used together with Pareto Optimality in 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. 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.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.. 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. We show that a ‘secondary’ self-organization process ensues, whereby nodes spontaneously cluster according to their implicit objective. In order to make the refined process dynamic, it pursues its implementation using Self-Organising Neural Networks. Scalability issues with respect to the key parameters of system size and diversity

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