Abstract
We consider networks offering tiered services and corresponding price structures, a model that has become prevalent in practice. We develop an economic model for such networks and make contributions in two important areas. First, we formulate the problem of selecting the service tiers from three perspectives: one that considers the users’ interests only, one that considers only the service provider’s interests, and one that considers both simultaneously, i.e., the interests of society as a whole. We also present an approximate yet accurate and efficient solution approach for tackling these nonlinear programming problems. Given the set of (near-) optimal service tiers, we then employ game-theoretic techniques to find an optimal price for each service tier that strikes a balance between the conflicting objectives of users and service provider. This work provides a theoretical framework for reasoning about and pricing Internet tiered services, as well as a practical toolset for network providers to develop customized menus of service offerings. Our results also indicate that tiering solutions currently adopted by ISPs perform poorly both for the providers and society overall.
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Notes
Note that, with capacity-based pricing, the tier (e.g., access speed) to which a user subscribes does not change over time (except, for instance, when a user upgrades to a higher speed), but with usage-sensitive pricing, a user may be charged according to a different tier every billing period, i.e., depending on the actual traffic volume generated during each period. Nevertheless, this distinction does not affect the economic model we present in the next section.
Note that the leftmost interval is (z 0,z 1], where z 0 = 0 is the “null” service tier we defined earlier. Since F(z 0) = 0, the summation in expression 1 is correctly defined for all service tier intervals.
We have conducted a large number of experiments with a range of distribution, utility, and cost functions. To avoid repetition, in this study, we investigate the MAX-ES problem only with the input functions described next. Nevertheless, these input functions are characteristic of real-life scenarios and the results shown are representative of what we have observed in our experiments.
Many ADSL providers offer download speeds that follow an exponential tiering structure, e.g., 384 kb/s, 768 kb/s, 1.5 Mb/s, 3 Mb/s, etc. Similarly for the 5/10/20/40 GB tiers of monthly traffic used in the recent pilot program by a cable ISP [6].
References
Bade R, Parkin M (2004) Foundations of microeconomics, 2nd edn. Addison-Wesley, Reading
Bertsekas D (2004) Nonlinear programming, 2nd edn. Athena Scientific, Nashua
Cooperative Association for Internet Data Analysis (CAIDA) (2008) Data by bytes from SDNAP traffic. http://www.caida.org/dynamic/analysis/workload/sdnap/
Eaton BC, Eaton DF, Allen DW (2002) Microeconomics, 5th edn. Prentice Hall, Englewood Cliffs
He L, Walrand J (2005) Pricing differentiated internet services. In: Proceedings of INFOCOM, pp 195–204
Holahan C (2008) Time Warner’s net metering precedent. Business Week
Huang C, Li J, Ross KW (2007) Can internet video-on-demand be profitable? In: Proceedings of ACM SIGCOMM, pp 133–144
Kausar N, Briscoe B, Crowcroft J (1999) A charging model for sessions on the internet. In: European conference on multimedia applications, services and techniques, pp 246–261
Kelly FP (1997) Charging and rate control for elastic traffic. Eur Trans Telecommun 8:33–37
Kelly FP, Maulloo A, Tan D (1998) Rate control for communication networks: shadow prices, proportional fairness and stability. J Oper Res Soc 49(3):237–252
McKnight LW, Bailey JP (eds) (1997) Internet economics. MIT, Cambridge
Nash JF (1950) The bargaining problem. Econometrica 18:155–162
Nash JF (1950) Equilibrium points in n-person games. Proc Natl Acad Sci 36:48–49
Nash JF (1953) Two-person cooperative games. Econometrica 21:128–140
Neely MJ (2007) Optimal pricing in a free market wireless network. In: Proceedings of IEEE INFOCOM
Odlyzko A (1999) Paris metro pricing for the Internet. In: Proceedings of the 1st ACM Conference on Electronic Commerce, pp 140–147
Rasmusen E (2001) Games and information: an introduction to game theory. Blackwell, Oxford
Ros D, Tuffin B (2004) A mathematical model of the Paris metro pricing scheme for charging packet networks. Comput Networks 46(1):73–85
Shenker S (1995) Fundamental design issues for the future internet. IEEE J Sel Areas Commun 13(7):1176–1188
Shu J, Varaiya P (2003) Pricing network services. In: Proceedings of IEEE INFOCOM, pp 1221–1230
Wang H, Xie H, Qiu L, Silberschatz A, Yang YR (2005) Optimal ISP subscription for internet multihoming: algorithm design and implication analysis. In: Proceedings of IEEE INFOCOM, pp 2360–2371
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This work was supported by the NSF under grant CNS-0434975.
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Lv, Q., Rouskas, G.N. An economic model for pricing tiered network services. Ann. Telecommun. 65, 147–161 (2010). https://doi.org/10.1007/s12243-009-0149-3
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DOI: https://doi.org/10.1007/s12243-009-0149-3