Skip to main content

Brief Announcement: The Speed of Broadcasting in Random Networks – Density Does Not Matter

  • Conference paper
  • 749 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5805))

Abstract

We consider the problem of spreading information in large random networks with small average degree. Randomized broadcasting is among the most fundamental and well-studied communication primitives in distributed computing, and has also applications in several other disciplines, like e.g. in mathematical theories of epidemics. A particularly popular example [1] is the maintenance of consistency in a distributed database, which is replicated at many hundreds or thousands of sites in a large, heterogeneous network. Obviously, efficient broadcasting algorithms are crucial in order to ensure that all copies of the database converge quickly and effectively to the same content.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

Learn about institutional subscriptions

References

  1. Demers, A., Greene, D., Hauser, C., Irish, W., Larson, J., Shenker, S., Sturgis, H., Swinehart, D., Terry, D.: Epidemic algorithms for replicated database maintenance. In: PODC 1987: Proceedings of the 6th annual ACM Symposium on Principles of distributed computing, New York, NY, USA, pp. 1–12 (1987)

    Google Scholar 

  2. Frieze, A., Grimmett, G.: The shortest-path problem for graphs with random arc-lengths. Discrete Applied Mathematics 10, 57–77 (1985)

    Article  MathSciNet  MATH  Google Scholar 

  3. Pittel, B.: On spreading a rumor. SIAM Journal on Applied Mathematics 47(1), 213–223 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  4. Feige, U., Peleg, D., Raghavan, P., Upfal, E.: Randomized broadcast in networks. Random Structures and Algorithms 1(4), 447–460 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  5. Elsässer, R., Sauerwald, T.: Broadcasting vs. Mixing and information dissemination on cayley graphs. In: Thomas, W., Weil, P. (eds.) STACS 2007. LNCS, vol. 4393, pp. 163–174. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fountoulakis, N., Huber, A., Panagiotou, K. (2009). Brief Announcement: The Speed of Broadcasting in Random Networks – Density Does Not Matter. In: Keidar, I. (eds) Distributed Computing. DISC 2009. Lecture Notes in Computer Science, vol 5805. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04355-0_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04355-0_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04354-3

  • Online ISBN: 978-3-642-04355-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics