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The authors propose an agent-based model for the evolution of the Internet ecosystem. They model networks in the Internet as selfish agents, each of which tries to maximize a certain utility function in a distributed manner. They consider a utility function that represents the monetary profit of a network. Their model accounts for various important constraints such as geography, multihoming, and various strategies for provider and peer selection by different types of networks. They implement this model in a simulator, which is then used to solve the model and determine a "Steady-state" of the network.
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