Skip to main content

Adaptive Peer-to-Peer Routing with Proximity

  • Conference paper
Database and Expert Systems Applications (DEXA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2736))

Included in the following conference series:

Abstract

In this paper, we presented a routing strategy for requests in unstructured peer-to-peer networks. The strategy is based on the adaptive routing Q-routing. The strategy uses reinforcement learning to estimate the cost of routing a request. Such a strategy is scalable only if the routing indices are of reasonable size. We proposed and comparatively evaluated three methods for the pruning for the pruning of the routing indices. Our experiments confirm the validity of the adaptive routing and the scalability of a pruning approach based on a pruning strategy considering the popularity of the resources.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Karger, D., Kaashoek, F., Stoica, I., Morris, R., Balakrishnan, H.: Chord: A scalable Peer-To-Peer lookup service for internet applications. In: Proceedings of the 2001 ACM SIGCOMM Conference, pp. 149–160 (2001)

    Google Scholar 

  2. Handley, M., Karp, R., Ratnasamy, S., Francis, P., Shenker, S.: A scalable content addressable network. In: Proceedings of the 2001 ACM SIGCOMM Conference (2001)

    Google Scholar 

  3. GNUTELLA, http://gnutella.wego.com

  4. Wiley, B., Clarke, I., Sandberg, O., Hong, T.W.: Freenet: A distributed anonymous information storage and retrieval system. LNCS (2001)

    Google Scholar 

  5. Kubiatowicz, J., et al.: Routing indices for peer-to-peer systems. In: Proceedings International Conference on Distributed Computing Systems (July 2002)

    Google Scholar 

  6. NAPSTER, http://www.napster.com

  7. Kaelbling, L.P., Littman, M.L., Moore, A.P.: Reinforcement learning: A survey. Journal of Artificial Intelligence Research 4, 237–285 (1996)

    Google Scholar 

  8. Littman, M., Boyan, J.: A distributed reinforcement learning scheme for network routing. In: Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications (1993)

    Google Scholar 

  9. Sutton, R.S., Barto, A.G.: Reinforcement learning: An introduction. MIT Press, Cambridge (1998)

    Google Scholar 

  10. Oram, A. (ed.): Peer-to-Peer: Harnessing the Power of Disruptive Technologies. O’Reilly & Associates, Sebastopol (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liau, C.Y., Hidayanto, A.N., Bressan, S. (2003). Adaptive Peer-to-Peer Routing with Proximity. In: Mařík, V., Retschitzegger, W., Štěpánková, O. (eds) Database and Expert Systems Applications. DEXA 2003. Lecture Notes in Computer Science, vol 2736. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45227-0_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45227-0_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40806-2

  • Online ISBN: 978-3-540-45227-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics