An agent-based model for the evolution of the internet ecosystem

  • Authors:
  • Amogh Dhamdhere;Constantine Dovrolis

  • Affiliations:
  • Georgia Institute of Technology;Georgia Institute of Technology

  • Venue:
  • COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
  • Year:
  • 2009

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Abstract

We propose an agent-based model for the evolution of the Internet ecosystem. We model networks in the Internet as selfish agents, each of which tries to maximize a certain utility function in a distributed manner. We consider a utility function that represents the monetary profit of a network. Our model accounts for various important constraints such as geography, multihoming, and various strategies for provider and peer selection by different types of networks. We implement this model in a simulator, which is then used to solve the model and determine a "steady-state" of the network. We then present a set of "what-if" questions that can be answered using the proposed model and by studying the properties of the resulting steady-state.