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extended-abstract

Fair, Flexible and Feasible ISP Billing

Published: 08 December 2014 Publication History

Abstract

The 95th percentile method for calculating a customer's billable transit volume has been the industry standard used by transit providers for over a decade due to its simplicity. We recently showed [1] that 95th percentile billing can be unfair, in that it does not reflect a customer's contribution to the provider's peak load. The 95th percentile method is also inflexible, as it does not allow a provider to offer incentives to customers that contribute minimally to the provider's peak load. In this paper we propose a new transit billing optimization framework that is fair, flexible and computationally inexpensive. Our approach is based on the Provision Ratio, a metric that estimates the contribution of a customer to the provider's peak traffic. The proposed mechanism has fairness properties similar to the optimal (in terms of fairness) Shapley value allocation, with a much smaller computational complexity.

References

[1]
V. R. Raja, A. Dhamdhere, A. Scicchitano, S. Shakkottai, k. claffy, and S. Leinen, "Volume-Based Transit Pricing: Is 95 the Right Percentile?" in Proceedings of PAM, 2014.
[2]
W. B. Norton, "Internet Transit Prices - Historical and Projected," http://drpeering.net/AskDrPeering/blog.
[3]
A. Dhamdhere and C. Dovrolis, "The Internet is Flat: Modeling the Transition from a Transit Hierarchy to a Peering Mesh," in Proceedings of CoNEXT, 2010.
[4]
A. Odlyzko, "Internet Pricing and the History of Communications," COMPUTER NETWORKS, vol. 36, pp. 493--517, 2001.
[5]
X. Dimitropoulos, P. Hurley, A. Kind, and M. Stoecklin, "On the 95-Percentile Billing Method," in Proc. of PAM, 2009.
[6]
R. Stanojevic, N. Laoutaris, and P. Rodriguez, "On Economic Heavy Hitters: Shapley Value Analysis of 95th-percentile Pricing," in Proc. of ACM SIGCOMM IMC, 2010.
[7]
H. Chang, S. Jamin, and W. Willinger, "To peer or not to peer: Modeling the evolution of the internet's AS-level topology," in Proc. IEEE INFOCOM, 2006.
[8]
K. Levenberg, "A method for the solution of certain problems in least squares," Quarterly of applied mathematics, vol. 2, pp. 164--168, 1944.
[9]
M. Motiwala, A. Dhamdhere, N. Feamster, and A. Lakhina, "Towards a Cost Model for Network Traffic," ACM SIGCOMM, Jan. 2012.

Cited By

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  • (2021)Cost-Aware Traffic Management Under Demand Uncertainty from a Colocation Data Center User’s PerspectiveIEEE Transactions on Services Computing10.1109/TSC.2018.279609514:2(400-412)Online publication date: 1-Mar-2021

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Published In

cover image ACM SIGMETRICS Performance Evaluation Review
ACM SIGMETRICS Performance Evaluation Review  Volume 42, Issue 3
December 2014
80 pages
ISSN:0163-5999
DOI:10.1145/2695533
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 December 2014
Published in SIGMETRICS Volume 42, Issue 3

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View all
  • (2021)Cost-Aware Traffic Management Under Demand Uncertainty from a Colocation Data Center User’s PerspectiveIEEE Transactions on Services Computing10.1109/TSC.2018.279609514:2(400-412)Online publication date: 1-Mar-2021

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