A Contract and Balancing Mechanism for Sharing Capacity in a Communication Network

References

• Adler M., Cai J.-Y., Shapiro J. K., Towsley D. Estimation of congestion price using probabilistic packet marking. Proceedings of the IEEE Infocom, San Francisco, CA (2003) Crossref, Google Scholar
• Briscoe B., Darlagiannis V., Heckman O., Oliver H., Siris V., Songhurst D., Stiller B. A market managed multi-service Internet (M3I). Comput. Comm. (2003) 26:404–414Crossref, Google Scholar
• Clark D. D. Adding service discrimination to the Internet. Telecomm. Policy (1996) 20:169–181Crossref, Google Scholar
• Dewan S., Mendelson H. User delay costs and internal pricing for a service facility. Management Sci. (1990) 36:1502–1517Link, Google Scholar
• Floyd S. TCP and explicit congestion notification. ACM Comput. Comm. Rev. (1994) 24:10–23Crossref, Google Scholar
• Floyd S. HighSpeed TCP for large congestion windows. (2003) . Network Working Group, Internet Engineering Task Force, The Internet Society, RFC 3649Google Scholar
• Floyd S., Fall K. Promoting the use of end-to-end congestion control in the Internet. IEEE/ACM Trans. Networking (1999) 7:458–472Crossref, Google Scholar
• Floyd S., Handley M., Padhye J., Widmer J. Equation-based congestion control for unicast applications. Proc. ACM SIGCOMM 2000, Stockholm, Sweden (2000) (ACM, New York) 43–56Crossref, Google Scholar
• Gibbens R. J., Kelly F. P. Resource pricing and the evolution of congestion control. Automatica (1999) 35:1969–1985Crossref, Google Scholar
• Kelly T. Scalable TCP: Improving performance in highspeed wide area networks. Comput. Comm. Rev. (2003) 33:83–91Crossref, Google Scholar
• Key P. Service differentiation: Congestion pricing, brokers and bandwidth futures. 9th International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV 1999), Basking Ridge, NJ (1999) Google Scholar
• Kirkpatrick D. Enron takes its pipeline to the net. Fortune (2000) 141(2):77–79Google Scholar
• Kreps D. M., Scheinkman J. A. Quantity precommitment and Bertrand competition yield Cournot outcomes. Bell J. Econom. (1983) 14:326–337Crossref, Google Scholar
• Kunniyur S., Srikant R. End-to-end congestion control: Utility functions, random losses and ECN marks. IEEE/ACM Trans. Networking (2003) 11:689–702Crossref, Google Scholar
• Low S. H., Paganini F., Doyle J. C. Internet congestion control. IEEE Control Systems Magazine (2002) 22:28–43Crossref, Google Scholar
• MacKie-Mason J. K., Varian H. R. Pricing congestible network resources. IEEE J. Selected Areas Comm. (1995) 13:1141–1149Crossref, Google Scholar
• Masuda Y., Whang S. Dynamic pricing for network service: Equilibrium and stability. Management Sci. (1999) 45:857–869Link, Google Scholar
• Mo J., Walrand J. Fair end-to-end window-based congestion control. IEEE/ACM Trans. Networking (2000) 8:556–567Crossref, Google Scholar
• Ramakrishnan K. K., Floyd S., Black D. The addition of explicit congestion notification (ECN) to IP. (2001) . Transport Area Working Group, Internet Engineering Task Force, RFC 3168Google Scholar
• Rump C. M., Stidham S. Stability and chaos in input pricing for a service facility with adaptive customer response to congestion. Management Sci. (1998) 44:246–261Link, Google Scholar
• Spring N., Wetherall D., Ely D. Robust explicit congestion notification (ECN) signaling with nonces. (2003) . Network Working Group, Internet Engineering Task Force, The Internet Society, RFC 3540Google Scholar
• Thommes R. W., Coates M. J. Deterministic packet marking for congestion price estimation. Proc. IEEE Infocom, Hong Kong (2004) Crossref, Google Scholar
• Varian H. R.Microeconomic Analysis (1992) 3rd ed.(Norton, New York) Google Scholar