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Differentiated end-to-end Internet services using a weighted proportional fair sharing TCP
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Source ACM SIGCOMM Computer Communication Review archive
Volume 28 ,  Issue 3  (July 1998) table of contents
Pages: 53 - 69  
Year of Publication: 1998
ISSN:0146-4833
Authors
Jon Crowcroft  University College of London
Philippe Oechslin  University College of London
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 64,   Citation Count: 24
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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

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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[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.
4
 
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.
 
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[6] R. Gardner. Games for Business and Economics. Wiley, New York, 1995.
7
 
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[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.
 
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[9] Frank Kelly. Charging and rate control of elastic traffic. European Transactions on Telecommunications, 8, 1997.
 
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[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.
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[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.
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[14] J. Rawls. A Theory of Justice. Harvard University Press, Cambridge Mass, 1971.
 
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[15] S. Shenker. Fundamental design issues for the future internet. IEEE Journal on Selected Areas of Communication, 13:1176-1188, 1995.
 
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[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.

CITED BY  24

Collaborative Colleagues:
Jon Crowcroft: colleagues
Philippe Oechslin: colleagues