The Cumulus Pricing model as an adaptive framework for feasible, efficient, and user-friendly tariffing of Internet services

Within the intense debate on Quality-of-Service (QoS) management in the future Internet, charging for QoS-enabled services has adopted a crucial place in research, since business relations are the driving force for commercial service offerings. Economic management principles are applied in a number of traditional markets, but only recently have gained increasing attention in the control of Internet services and traffic with respect to economic efficiency, user acceptability, and technical feasibility. The present paper addresses these three main areas of current research in a holistic approach.Based on a generic time-scale model for Internet tariffs and three well-defined axioms of feasible Internet charging, the Cumulus Pricing Scheme (CPS) serves as a framework for pricing Internet services. CPS allows a well-balanced compromise of economic viability and technical feasibility, while relying on crucial user and provider points of view on acceptability and transparency of the pricing scheme. This dilemma is investigated with respect to a set of detailed aspects and their interdependencies, which are measured, simulated, and evaluated in a quantifiable manner. Service level specifications are investigated, while results obtained show that CPS achieves the central role of an economic and scalable management tool for Internet traffic.

[1]  Andrew M. Odlyzko,et al.  Paris metro pricing for the internet , 1999, EC '99.

[2]  Peter Reichl,et al.  How to overcome the feasibility problem for tariffing Internet services: the cumulus pricing scheme , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[3]  Michael Devetsikiotis,et al.  An overview of pricing concepts for broadband IP networks , 2000, IEEE Communications Surveys & Tutorials.

[4]  Richard J. Gibbens,et al.  Resource pricing and the evolution of congestion control , 1999, at - Automatisierungstechnik.

[5]  J. Andel.  Sequential Analysis , 2022, The SAGE Encyclopedia of Research Design.

[6]  D. J. Songhurst.  Charging communication networks: from theory to practice , 1999 .

[7]  Frank Kelly,et al.  Notes on effective bandwidths , 1994 .

[8]  Heiko Ludwig,et al.  The WSLA Framework: Specifying and Monitoring Service Level Agreements for Web Services , 2003, Journal of Network and Systems Management.

[9]  Jeffrey K. MacKie-Mason,et al.  Pricing Congestible Network Resources (Invited Paper) , 1995, IEEE J. Sel. Areas Commun..

[10]  Loretta Anania,et al.  Flat—the minimalist price , 1997 .

[11]  George D. Stamoulis,et al.  An auction mechanism for bandwidth allocation over paths , 2001 .

[12]  Deborah Estrin,et al.  Pricing in computer networks: motivation, formulation, and example , 1993, TNET.

[13]  B. Stiller,et al.  Pricing and Cost Recovery for Internet Services: Practical Review, Classification, and Application of Relevant Models , 2001 .

[14]  Liam Murphy,et al.  Responsive pricing in the Internet , 1997 .

[15]  Peter Reichl,et al.  Notes on cumulus pricing and time-scale aspects of internet tariff design , 2000 .

[16]  Andrew B. Whinston,et al.  Priority pricing of integrated services networks , 1997 .

[17]  Peter Reichl,et al.  Charging multidimensional QoS with the cumulus pricing scheme , 2001, SPIE ITCom.

[18]  Peter Reichl,et al.  Auction Models for Multi-Provider Internet Connections , 1999, MMB.

[19]  Frank Kelly.  Charging and Accounting for Bursty Connections , 1995 .

[20]  Yezekael Hayel,et al.  A mathematical analysis of the cumulus pricing scheme , 2005, Comput. Networks.

[21]  Bernhard Plattner,et al.  The CATI Project: Charging and Accounting Technology for the Internet , 1999, ECMAST.

[22]  David L. Black,et al.  The Addition of Explicit Congestion Notification (ECN) to IP , 2001, RFC.

[23]  Sebastian Abeck,et al.  Integrated Management of Networked Systems: Concepts, Architectures and their Operational Application , 1999 .

[24]  Deborah Estrin,et al.  Pricing in Computer Networks: Reshaping the Research Agenda , 2020, The Internet and Telecommunications Policy.

[25]  Giorgos Cheliotis,et al.  Stochastic models for telecom commodity prices , 2001, Comput. Networks.

[26]  Walter Willinger,et al.  On the self-similar nature of Ethernet traffic , 1993, SIGCOMM '93.

[27]  Oliver Rose,et al.  Estimation of the Hurst Parameter of Long-Range Dependent Time Series , 1996 .

[28]  P. Varaiya,et al.  Providing Internet Access: What we learn from the INDEX Trial∗ , 1999 .

[29]  Matthew Roughan,et al.  On-line estimation of the parameters of long-range dependence , 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).

[30]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[31]  L. McKnight,et al.  Internet economics , 1997 .

[32]  Peter Reichl,et al.  A Generic and Modular Internet Charging System for the Cumulus Pricing Scheme , 2001, Journal of Network and Systems Management.

[33]  B. Stiller,et al.  Implementation of the Cumulus Pricing Scheme for Differentiated Services in a Modular Internet Charging System. , 2002 .