Skip to main content

Optimal Flow Distribution Among Multiple Channels with Unknown Capacities

  • Chapter
Book cover Theoretical Computer Science

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3895))

Abstract

Consider a simple network flow problem in which a flow of value D must be split among n channels directed from a source to a sink. The initially unknown channel capacities can be probed by attempting to send a flow of at most D units through the network. If the flow is not feasible, we are told on which channels the capacity was exceeded (binary feedback) and possibly also how many units of flow were successfully sent on these channels (throughput feedback). For throughput feedback we present optimal protocols for minimizing the number of rounds needed to find a feasible flow and for minimizing the total amount of wasted flow. For binary feedback we present an asymptotically optimal protocol.

An extended abstract of this paper was presented at the graco 2005 conference [6].

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chandrayana, K., Zhang, Y., Roughan, M., Sen, S., Karp, R.: Search game in inter-domain traffic engineering (2004) (manuscript)

    Google Scholar 

  2. Chiu, D., Jain, R.: Analysis of the increase/decrease algorithms for congestion avoidance in computer networks. J. of Comput. Networks and ISDN 17(1), 1–14 (1989)

    Article  MATH  Google Scholar 

  3. Garg, N., Young, N.E.: On-line end-to-end congestion control. In: Proc. of FOCS 2002, pp. 303–312 (2002)

    Google Scholar 

  4. Jacobson, V.: Congestion avoidance and control. In: Proc. of ACM SIGCOMM 1988, pp. 314–329 (1988)

    Google Scholar 

  5. Karp, R., Koutsoupias, E., Papadimitriou, C., Shenker, S.: Combinatorial optimization in congestion control. In: Proc. of FOCS 2000, pp. 66–74 (2000)

    Google Scholar 

  6. Karp, R., Nierhoff, T., Tantau, T.: Optimal Flow Distribution Among Multiple Channels with Unknown Capacities. In: Proc. of GRACO 2005. Electronic Notes in Discrete Mathematics, vol. 19, pp. 225–231. Elsevier, Amsterdam (2005)

    Google Scholar 

  7. Low, S.H., Paganini, F., Doyle, J.C.: Internet congestion control: An analytical perspective. IEEE Control Systems Magazine, 28–43 (February 2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Karp, R., Nierhoff, T., Tantau, T. (2006). Optimal Flow Distribution Among Multiple Channels with Unknown Capacities. In: Goldreich, O., Rosenberg, A.L., Selman, A.L. (eds) Theoretical Computer Science. Lecture Notes in Computer Science, vol 3895. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11685654_4

Download citation

  • DOI: https://doi.org/10.1007/11685654_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32880-3

  • Online ISBN: 978-3-540-32881-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics