Abstract
A key challenge in Grid computing is the achievement of efficient and self-organized management of the Virtual Organizations composing the system. Grids are often very heterogeneous, incorporating high dynamicity and unpredictability. Introducing higher levels of adaptation and learning in the coordination protocols may help coping with complexity. We provide a solution based on a self-organized and emergent mechanism evolving congregations of policy-based resource management agents through a Group Selection process. We provide a formalization of the Group Selection pattern; we show how the mechanism fits in a Service Oriented Grid infrastructure and further evaluate by simulation its performance as an agent's policy coordination mechanism in Virtual Organizations.
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