Stepwise probabilistic buffering for epidemic information dissemination

  • Authors:
  • Emrah Ahi;Mine Çaǧlar;Öznur Özkasap

  • Affiliations:
  • Koç University, Istanbul, Turkey;Koç University, Istanbul, Turkey;Koç University, Istanbul, Turkey

  • Venue:
  • Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
  • Year:
  • 2006

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Abstract

For large-scale peer-to-peer applications, bio-inspired epidemic protocols have considerable advantages as they are robust against network failures, scalable and provide probabilistic reliability guarantees. While providing reliability, a key issue to consider is the usage of system wide buffer space. In this context, we introduce a novel scheme called stepwise probabilistic buffering that reduces the amount of buffering and distributes the load of buffering to the entire system where every peer does not have the complete view of the system. We compute the performance measures through simulations of large-scale application scenarios.