Open peering by Internet transit providers: Peer preference or peer pressure?

Peering agreements between Autonomous Systems affect not only the flow of interdomain traffic but also the economics of the entire Internet ecosystem. The conventional wisdom is that transit providers are selective in choosing their settlement-free peers because they prefer to offer revenue-generating transit service to others. Surprisingly, however, a large percentage of transit providers use an Open peering strategy. What causes this large-scale adoption of Open peering, especially among transit providers? More importantly, what is the impact of this peering trend on the economic performance of the population of transit providers? We approach these questions through game-theoretic modeling and agent-based simulations, capturing the dynamics of peering strategy adoption, inter-network formation and interdomain traffic flow. We explain why transit providers gravitate towards Open peering even though that move may be detrimental to their economic fitness. Finally, we examine the impact of an Open peering variant that requires some coordination among providers.

[1]  Dmitri Loguinov,et al.  Wealth-Based Evolution Model for the Internet AS-Level Topology , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[2]  Lixin Gao,et al.  On inferring and characterizing Internet routing policies , 2003, Journal of Communications and Networks.

[3]  Dmitri V. Krioukov,et al.  Evolution of the Internet AS-level ecosystem , 2006, Complex.

[4]  Shie Mannor,et al.  Formation Games and the Internet Structure , 2013, ArXiv.

[5]  Anja Feldmann,et al.  Anatomy of a large european IXP , 2012, SIGCOMM '12.

[6]  Petter Holme,et al.  An integrated model of traffic, geography and economy in the internet , 2008, CCRV.

[7]  David C. Parkes,et al.  An Economically-Principled Generative Model of AS Graph Connectivity , 2009, IEEE INFOCOM 2009.

[8]  Walter Willinger,et al.  To Peer or Not to Peer: Modeling the Evolution of the Internet's AS-Level Topology , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[9]  G. Spagnolo,et al.  Internet Peering as a Network of Relations , 2007 .

[10]  R. Srikant,et al.  Economics of Network Pricing With Multiple ISPs , 2006, IEEE/ACM Transactions on Networking.

[11]  Hawoong Jeong,et al.  Modeling the Internet's large-scale topology , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Subhadip Chakrabarti,et al.  A simple game-theoretic analysis of peering and transit contracting among Internet service providers , 2008 .

[13]  P. Baake,et al.  On the economics of Internet peering , 1999 .

[14]  Anja Feldmann,et al.  A methodology for estimating interdomain web traffic demand , 2004, IMC '04.

[15]  Farnam Jahanian,et al.  Internet inter-domain traffic , 2010, SIGCOMM '10.

[16]  Walter Willinger,et al.  Internet connectivity at the AS-level: an optimization-driven modeling approach , 2003, MoMeTools '03.

[17]  Narine Badasyan A Simple Game Theoretic Analysis of Peering and Transit Contracting among Internet Access Providers , 2005 .

[18]  Elliot Anshelevich,et al.  Strategic Network Formation through Peering and Service Agreements , 2006, 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06).

[19]  Christos H. Papadimitriou,et al.  Heuristically Optimized Trade-Offs: A New Paradigm for Power Laws in the Internet , 2002, ICALP.

[20]  Walter Willinger,et al.  An empirical approach to modeling inter-AS traffic matrices , 2005, IMC '05.

[21]  Amogh Dhamdhere,et al.  The Internet is flat: modeling the transition from a transit hierarchy to a peering mesh , 2010, CoNEXT.

[22]  Amogh Dhamdhere,et al.  GENESIS: An agent-based model of interdomain network formation, traffic flow and economics , 2012, 2012 Proceedings IEEE INFOCOM.