An empirical evaluation of wide-area internet bottlenecks
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Pricing Communication Networks: Economics, Technology and Modelling (Wiley Interscience Series in Systems and Optimization)
Modeling internet topology dynamics
ACM SIGCOMM Computer Communication Review
Ten years in the evolution of the internet ecosystem
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Technical, Commercial and Regulatory Challenges of QoS: An Internet Service Model Perspective
Technical, Commercial and Regulatory Challenges of QoS: An Internet Service Model Perspective
The flattening internet topology: natural evolution, unsightly barnacles or contrived collapse?
PAM'08 Proceedings of the 9th international conference on Passive and active network measurement
Proceedings of the ACM SIGCOMM 2010 conference
Broadband internet performance: a view from the gateway
Proceedings of the ACM SIGCOMM 2011 conference
How many tiers?: pricing in the internet transit market
Proceedings of the ACM SIGCOMM 2011 conference
On cooperative settlement between content, transit, and eyeball internet service providers
IEEE/ACM Transactions on Networking (TON)
Towards a cost model for network traffic
ACM SIGCOMM Computer Communication Review
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The evolution of the Internet has manifested itself in many ways: the traffic characteristics, the interconnection topologies and the business relationships among the autonomous components. It is important to understand why (and how) this evolution came about, and how the interplay of these dynamics may affect future evolution and services. We propose a network aware, macroscopic model that captures the characteristics and interactions of the application and network providers, and show how it leads to a market equilibrium of the ecosystem. By analyzing the driving forces and the dynamics of the market equilibrium, we obtain some fundamental understandings of the cause and effect of the Internet evolution, which explain why some historical and recent evolutions have happened. Furthermore, by projecting the likely future evolutions, our model can help application and network providers to make informed business decisions so as to succeed in this competitive ecosystem.