An Agent-Based Model for the Evolution of the Internet Ecosystem
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.
Provided by: Georgia Institute of Technology Topic: Collaboration Date Added: Jan 2012 Format: PDF