Bio-inspired Search and Distributed Memory Formation on Power-Law Networks

  • Tathagata Das
  • Subrata Nandi
  • Andreas Deutsch
  • Niloy Ganguly
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5199)

Abstract

In this paper, we report a novel and efficient algorithm for searching P2P networks having a power law topology. Inspired by the natural immune system, it is a completely decentralized algorithm where each peer searches by sending out random walkers to a limited number of neighbors. As it finds other peers having similar content, it restructures its own neighborhood with the objective of bringing them closer. This restructuring leads to clustering of nodes with similar content, thus forming P2P communities. Alongside, the search algorithm also adapts its walk strategy in order to take advantage of the community thus formed. This search strategy is more than twice as efficient as pure random walk on the same network.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Ganguly, N., Canright, G., Deutsch, A.: Design Of An Efficient Search Algorithm For P2P Networks Using Concepts From Natural Immune Systems. In: Int’l Conf. on Parallel Problem Solving from Nature (2004)Google Scholar
  2. 2.
    Ganguly, N., Brusch, L., Deutsch, A.: Design and analysis of a bio-inspired search algorithm for peer to peer networks. SELF-STAR: Self-* Properties in Complex Information Systems (2005)Google Scholar
  3. 3.
    Klarreich, E.: Inspired by immunity. Nature 415, 468–470 (2002)CrossRefGoogle Scholar
  4. 4.
    Babaoglu, O., Canright, G., Deutsch, A., Caro, G.D., Ducatelle, F., Gambardella, L., Ganguly, N., Jelasity, M., Montemanni, R., Montresor, A.: Design Patterns from Biology for Distributed Computing. ACM Transaction of Autonomous and Adaptive Systems 1(1) (September 2006)Google Scholar
  5. 5.
    Dickinson, R.B., Tranquillo, R.T.: A Stochastic Model for Adhesion-mediated Cell Random Motility and Haptotaxis. J. Math. Biol. 31(6), 563–600 (1993)CrossRefMATHGoogle Scholar
  6. 6.
    Asvanund, A., Krishnan, R.: Content-Based Community Formation in Hybrid Peer-to-Peer Networks. In: SIGIR Workshop on P2P Information Retrieval (2004)Google Scholar
  7. 7.
    Khambatti, M., Ryu, K., Dasgupta, P.: Structuring P2P Networks Using Interest-Based Communities, Databases, Information Systems & P2P Computing (2003)Google Scholar
  8. 8.
    Newman, M.: The structure and function of complex networks. SIAM Review (2003)Google Scholar
  9. 9.
    Murray, J.D.: Mathematical Biology. Springer, Heidelberg (1989)CrossRefMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Tathagata Das
    • 1
  • Subrata Nandi
    • 1
  • Andreas Deutsch
    • 1
  • Niloy Ganguly
    • 1
  1. 1.Department of Computer Science & EngineeringIndian Institute of Technology KharagpurKharagpurIndia

Personalised recommendations