skip to main content
article
Free Access

Differentiated end-to-end Internet services using a weighted proportional fair sharing TCP

Published:01 July 1998Publication History
Skip Abstract Section

Abstract

In this document we study the application of weighted proportional fairness to data flows in the Internet. We let the users set the weights of their connections in order to maximise the utility they get from the network. When combined with a pricing scheme where connections are billed by weight and time, such a system is known to maximise the total utility of the network. Our study case is a national Web cache server connected to long distance links. We propose two ways of weighting TCP connections by manipulating some parameters of the protocol and present results from simulations and prototypes. We finally discuss how proportional fairness could be used to implement an Internet with differentiated services.

References

  1. {1} D. Bertsekas and R. Gallager. Data Networks. Prentice Hall, 1987. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. {2} H. Blakrishnan, V. Padmamabhan, S. Seshan, M. Stemm, and R. Katz. TCP behavior of a busy internet server: analysis and improvements. Technical report, Computer Science Division, University of California at Berkeley, 1997. http://http.cs.berkeley.edu/padmanab/papers/csd-97-966.ps.gz. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. {3} D. Clark and J. Wroclawski. An approach to service allocation in the internet, work in progress, Internet Draft draft-clark-diff-svc-alloc-00.txt, 1997.Google ScholarGoogle Scholar
  4. {4} Sally Floyd. Connections with multiple congested gateways in packet-switched networks, part 1: One-way traffic. Computer Communications Review, 21(5), October 1991. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. {5} Sally Floyd and Kevin Fall. Router mechanisms to support end-to-end congestion control. Technical report, Laurence Berkley National Laboratory, Berkley, 1997. ftp://ftp.ee.lbl.gov/papers/collapse.ps.Google ScholarGoogle Scholar
  6. {6} R. Gardner. Games for Business and Economics. Wiley, New York, 1995.Google ScholarGoogle Scholar
  7. {7} Van Jacobson. Congestion avoidance and control. In Proceeings of ACM SIGCOMM, 1988. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. {8} Lampros Kalampoukas and Anujan Varma, UCSC, K.K. Ramakrishnan, AT&T Labs Explicit Window Adaptation: A Method to Enhance TCP Performance In Proceedings of IEEE INFOCOM, 1998.Google ScholarGoogle Scholar
  9. {9} Frank Kelly. Charging and rate control of elastic traffic. European Transactions on Telecommunications, 8, 1997.Google ScholarGoogle Scholar
  10. {10} Frank Kelly, Aman Manlloo, and David Tan. Rate control for communication networks: shadow prices, proporional fairness and stability, draft, 1997. http://www.statslab.cam.ac.uk/frank/rate.html.Google ScholarGoogle Scholar
  11. {11} Matthew Mathis, Jeffrey Semke, and Jamhid Mahdavi. The macroscopic behavior of the tcp congestion avoidance algorithm. Computer Communication Review, 27(3):67-82, July 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. {12} K. Nichols, V. Jacobson, and L. Zhang. A two-bit differentiated services architecture for the internet. Internet Draft draft-nichols-diff-svc-arch-00.txt. work in progress, http://diffserv.lcs.mit.edu/Drafts/draft-nichols-diff-svc-arch-00.pdf.Google ScholarGoogle Scholar
  13. {13} Vern Paxson. Automated packet trace analsysis of TCP implementations. In Proceedings of ACM SIGCOMM '97, August 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. {14} J. Rawls. A Theory of Justice. Harvard University Press, Cambridge Mass, 1971.Google ScholarGoogle Scholar
  15. {15} S. Shenker. Fundamental design issues for the future internet. IEEE Journal on Selected Areas of Communication, 13:1176-1188, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. {16} Zheng Wang. User-share differentiation (USD) scalable bandwidth allocation for differentiated services. - A Case for Proportional Sharing Internet Draft, draft-wang-diff-serv-usd-00.txt, Nov 1997. and In IEEE/IFIP IWQoS, 1998.Google ScholarGoogle Scholar

Index Terms

  1. Differentiated end-to-end Internet services using a weighted proportional fair sharing TCP

                Recommendations

                Comments

                Login options

                Check if you have access through your login credentials or your institution to get full access on this article.

                Sign in

                Full Access

                • Published in

                  cover image ACM SIGCOMM Computer Communication Review
                  ACM SIGCOMM Computer Communication Review  Volume 28, Issue 3
                  July 1998
                  74 pages
                  ISSN:0146-4833
                  DOI:10.1145/293927
                  Issue’s Table of Contents

                  Copyright © 1998 Authors

                  Publisher

                  Association for Computing Machinery

                  New York, NY, United States

                  Publication History

                  • Published: 1 July 1998

                  Check for updates

                  Qualifiers

                  • article

                PDF Format

                View or Download as a PDF file.

                PDF

                eReader

                View online with eReader.

                eReader