On power-law relationships of the Internet topology
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Heuristically Optimized Trade-Offs: A New Paradigm for Power Laws in the Internet
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
Near-optimal network design with selfish agents
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Internet connectivity at the AS-level: an optimization-driven modeling approach
MoMeTools '03 Proceedings of the ACM SIGCOMM workshop on Models, methods and tools for reproducible network research
Strategic Network Formation through Peering and Service Agreements
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
The workshop on internet topology (wit) report
ACM SIGCOMM Computer Communication Review
Internet economics: the use of Shapley value for ISP settlement
CoNEXT '07 Proceedings of the 2007 ACM CoNEXT conference
An integrated model of traffic, geography and economy in the internet
ACM SIGCOMM Computer Communication Review
Interconnecting eyeballs to content: a shapley value perspective on isp peering and settlement
Proceedings of the 3rd international workshop on Economics of networked systems
Ten years in the evolution of the internet ecosystem
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
On cooperative settlement between content, transit and eyeball internet service providers
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
Eyeball ASes: from geography to connectivity
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
The Internet is flat: modeling the transition from a transit hierarchy to a peering mesh
Proceedings of the 6th International COnference
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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.