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On capacity sharing in network congestion epochs

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Abstract

Seeing network resources as a public good involves to mantain open and shared access to them for any user. Nevertheless, these conditions may be really difficult to achieve in presence of well-endowed users with heavy data flows. Our purpose here is to provide a two stage game form for managing heavy data flows which may cause network congestion or monopolization. Using an axiomatic approach, we show that the mechanism proposed attains economic efficiency and it implements capacity sharing.

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References

  1. D. Abreu and A. Sen, Subgame perfect implementation: A necessary and almost sufficient condition, J. Econom. Theory 50 (1990) 285–294.

    Google Scholar 

  2. J. Altman, B. Rupp and P. Varaiya, Internet demand under different pricing schemes, Netnomics 3(1) (2001) 67–84.

    Google Scholar 

  3. E. Anderson, F. Kelly and R. Steinberg, A contract and balancing mechanism for sharing capacity in a communication network, Mimeo (2003).

  4. G. Bernat and A. Burns, Multiple servers and capacity sharing for implementing flexible scheduling, Real-Time Systems 22 (2002) 49–75.

    Google Scholar 

  5. L.C. Corchòn, The Theory of Implementation of Socially Optimal Decisions in Economics (Clarendon Press, Oxford, 1998).

    Google Scholar 

  6. J. Crèmer and C. Harinton, The pricing of critical applications in the Internet, J. Japan. Internat. Economics 13(4) (1999) 281–310.

    Google Scholar 

  7. G. Fankhauser, B. Plattner and B. Stiller, Arrow: A flexible architecture for an accounting and charging infrastructure in the next generation Internet, Netnomics 1(2) (1999) 201–223.

    Google Scholar 

  8. G. Fankhauser, B. Plattner and B. Stiller, Charging of multimedia flows in an integrated services network, CENL Discussion Paper no. 206, Zürich (2000).

  9. G. Fankhauser, B. Plattner, B. Stiller and N. Weiler, Charging and accounting for integrated Internet services, INET, Geneva (1998).

  10. G. Fankhauser, P. Reichl and B. Stiller, Auction models for multiprovider Internet connections, CENL Discussion Paper no. 203, Zürich (2000).

  11. S. Fukuda-Parr and R. Hill, The network age: Creating new models of technical cooperation, in: Capacity for Development, eds. S. Fukuda-Parr, C. Lopes and K. Malik (Earthscan, New York, 2002).

    Google Scholar 

  12. M. Jackson and H. Moulin, Implementing a public project and distributing its costs, J. Econom. Theory 57 (1992) 125–140.

    Google Scholar 

  13. S. Leinen, P. Reichl and B. Stiller, Pricing and cost recovery for Internet services: Practical review, classification, and application of relevant models, Netnomics 3(2) (2001) 149–171.

    Google Scholar 

  14. J.K. Mackie-Mason and H.L. Varian, Pricing the Internet, in: Public Access to the Internet, eds. Kahin and Keller (Prentice-Hall, Englewood Cliffs, NJ, 1994).

    Google Scholar 

  15. J.K. Mackie-Mason, W.E. Walsh, M.P. Wellman and P.R. Wurman, Auction protocols for decentralized scheduling, Working Paper no. 347, Department of Economics, University of Michigan (1999).

  16. Y. Masuda and S. Whang, Dynamic pricing for network services: Equilibrium and stability, Managm. Sci. 45 (1999) 857–869.

    Google Scholar 

  17. J. Moore and R. Repullo, Subgame perfect implementation, Econometrica 56 (1988) 1191–1220.

    Google Scholar 

  18. M. Muller, Analyse und Entwurf von Tarifierungsmodellen für Kommunicationsdienste, TIK, ETH, Zürich (1997).

  19. A. Odlyzko, The Internet and other networks: Utilization rates and their implications, Inform. Economics Policy 12 (2000) 341–365.

    Google Scholar 

  20. S. Paltridge, Mining and mapping Web content, INFO 1(4) (1999) 327–341.

    Google Scholar 

  21. L. Rapp, The Napsterization of the European content industry, INFO 2(6) (2000) 551–569.

    Google Scholar 

  22. C.M. Rump and S. Stidham Jr., Stability and chaos in input pricing for a service facility with adaptive consumers response to congestion, Managm. Sci. 44 (1998) 246–261.

    Google Scholar 

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Correspondence to Diego Lanzi.

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Lanzi, D. On capacity sharing in network congestion epochs. Netnomics 6, 87–101 (2004). https://doi.org/10.1007/s11066-004-0834-3

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