Playstation Magazine PS2 Demo Disc from 2002!

The Capsule Reviews were compiled by Fairouz Kamareddine. 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. 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. 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 are extensively discussed.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. Conflicting goals are introduced, in the form of a population of nodes actively seeking to acquire neighbours of a type different from their own, resulting in decreased local homogeneity. Finally, we introduce dynamic goals by making the preferred neighbour type a function of the local characteristics of a simulated workload. Professor Kamareddine is an Associate Editor