Abstract
In order to manage congestion problems and allocate network resources, many researchers have studied Internet pricing over the last decade. However, much of their research results have been limited by their reliance on the over-simplified demand model, and are not intended for adaptation to emerging multiple class environments such as the Diffserv network. For example, user utility is generally represented by a logarithmic form that is related to unit elasticity demand, but is not effective in representing user demand in the real Internet service market. We extend a dynamic pricing scheme by generalizing a demand model and applying it to the multi-class Diffserv network; and develop a simulation framework to compare the engineering and economic performance of our dynamic pricing model to those of static pricing.
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References
Odlyzko, A.M.: The Economics of the Internet: Utility, Utilization, Pricing, and Quality of Service. Technical Report. AT&T Research Lab (1998)
MacKie-Mason, J.K., Varian, H.R.: Pricing the congestible network resources. IEEE JSAC 13, 1141–1149 (1995)
Gupta, A., Stahl, D.O., Whinston, A.B.: Pricing of services on the Internet. Technical Report, University of Texas, Austin (1997)
Shenker, S., Clark, D., Estrin, D., Herzog, S.: Pricing in computer networks: Reshaping the Research Agenda. ACM Computer Communication Review (1996)
Clark, D.D.: Internet cost allocation and pricing. In: McKnight, L.W., Bailey, J.P. (eds.) Internet Economics, MIT Press, Cambridge (1997)
Kalyanaraman, S., Ravichandran, T.: Dynamic Capacity Contracting: A Framework for Pricing the Differentiated Services Internet. In: Intl. Conf. Information and Computation Economics (1998)
Kelly, F.P.: Charging and Rate Control for Elastic Traffic. European Transactions on Telecommunications 8, 33–37 (1997)
Kelly, F.P., Maullo, A.K., Tan, D.K.H.: Rate Control in Communication Networks: Shadow Prices, Proportional Fairness and Stability. Journal of Operations Research Society 49, 237–252 (1998)
Low, S.H., Lapsley, D.E.: Optimization Flow Control – I: Basic Algorithm and Convergence. IEEE/ACM Transactions on Networking 7(6), 861–875 (1999)
Varian, H.R.: Microeconomic Analysis, 3rd edn. Norton, New York (1992)
Courcoubetis, C., Weber, R.: Pricing Communication Networks. Wiley, Chichester (2003)
Li, T., Iraqi, Y., Boutaba, R.: Tariff-based Pricing and Admission Control for Diffserv Networks. INM (International Network Management) (2003)
Baglietto, M., Bolla, R., Davoli, F., Marchese, M., Mainero, A., Mongelli, M.: A unified model for a pricing scheme in a heterogeneous environment of QoS-controlled and Best Effort connections. In: SPECTS 2002 (2002)
Wang, X., Schulzrinne, H.: An Integrated Resource Negotiation, Pricing, and QoS Adaptation Framework for Multimedia Applications. IEEE J. of Selected Areas in Comm. 18(12), 2514–2529 (2000)
Wang, X., Schulzrinne, H.: Pricing Network Resources for Adaptive Applications in a Differentiated Services Network. In: IEEE Infocom 2001 (2001)
Yuksel, M., Kalyanaraman, S.: Distributed Dynamic Capacity Contracting: A Congestion Pricing Framework for Diff-Serv. In: Almeroth, K.C., Hasan, M. (eds.) MMNS 2002. LNCS, vol. 2496, pp. 198–210. Springer, Heidelberg (2002)
Bouras, C., Sevasti, A.: A new pricing mechanism for a high-priority Diffserv-based service. In: ICACT 2004 (2004)
Marbach, P.: Analysis of s Static Pricing Scheme for Priority Services. IEEE/ACM Transactions on networking 12(2), 312–325 (2004)
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Kim, S.K., Choi, M.K. (2005). Modeling of Dynamic Pricing by Market Demand in Multiple QoS Networks. In: Magedanz, T., Madeira, E.R.M., Dini, P. (eds) Operations and Management in IP-Based Networks. IPOM 2005. Lecture Notes in Computer Science, vol 3751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11567486_6
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DOI: https://doi.org/10.1007/11567486_6
Publisher Name: Springer, Berlin, Heidelberg
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