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Internet Interconnection Economic Model and its Analysis: Peering and Settlement

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  • Martin B. Weiss

    ()

  • Seung Jae Shin

    ()

Abstract

Peering and transit are two types of Internet interconnection among ISPs. Peering has been a core concept to sustain Internet industry. However, for the past several years, many ISPs broke their peering arrangement because of asymmetric traffic pattern and asymmetric benefit and cost from the peering. Even though traffic flows are not a good indicator of the relative benefit of an Internet interconnection between the ISPs, it is needless to say that cost is a function of traffic and the only thing that we can know for certain is inbound/outbound traffic volumes between the ISPs. In this context, we suggest Max{inbound traffic volume, outbound traffic volume} as an alternative criterion to determine the Internet settlement between ISPs and we demonstrate this rule makes ISPs easier to make a peering arrangement. In our model, the traffic volume is a function of a market share. We will show the market share decides traffic volume, which is based on the settlement between ISPs. As a result, we address the current interconnection settlement problem with knowledge of inbound and outbound traffic flows and we develop an analytical framework to explain the Internet interconnection settlement.

Suggested Citation

  • Martin B. Weiss & Seung Jae Shin, 2004. "Internet Interconnection Economic Model and its Analysis: Peering and Settlement," Netnomics, Springer, vol. 6(1), pages 43-57, April.
  • Handle: RePEc:kap:netnom:v:6:y:2004:i:1:p:43-57
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    Cited by:

    1. Lippert, Steffen & Spagnolo, Giancarlo, 2011. "Networks of relations and Word-of-Mouth Communication," Games and Economic Behavior, Elsevier, vol. 72(1), pages 202-217, May.
    2. Zhou, Weihua & Pu, Yaqi & Dai, Hongyan & Jin, Qingwei, 2017. "Cooperative interconnection settlement among ISPs through NAP," European Journal of Operational Research, Elsevier, vol. 256(3), pages 991-1003.
    3. repec:kap:netnom:v:18:y:2017:i:1:d:10.1007_s11066-017-9114-x is not listed on IDEAS
    4. D'Ignazio, Alessio & Giovannetti, Emanuele, 2009. "Asymmetry and discrimination in Internet peering: evidence from the LINX," International Journal of Industrial Organization, Elsevier, vol. 27(3), pages 441-448, May.
    5. Sun Me Choi & Christian Fernando Libaque-Saenz & Sang-woo Lee & Myeong-Cheol Park, 2016. "Margin squeeze in the Internet backbone interconnection market: a case study of Korea," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 61(3), pages 531-542, March.
    6. D’Ignazio, A. & Giovannetti, E., 2006. "‘Unfair’ Discrimination in Two-sided Peering? Evidence from LINX," Cambridge Working Papers in Economics 0621, Faculty of Economics, University of Cambridge.
    7. Christos Michalakelis & Georgia Dede & Dimitris Varoutas & Thomas Sphicopoulos, 2010. "Estimating diffusion and price elasticity with application to telecommunications," Netnomics, Springer, vol. 11(3), pages 221-242, October.
    8. Gireesh Shrimali, 2010. "Competitive resource sharing by Internet Service Providers," Netnomics, Springer, vol. 11(2), pages 149-179, July.

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