Performance modeling of epidemic routing

  title={Performance modeling of epidemic routing},
  author={Xiaolan Zhang and Giovanni Neglia and James F. Kurose and Donald F. Towsley},
  journal={Computer Networks},
In this paper, we develop a rigorous, unified framework based on ordinary differential equations (ODEs) to study epidemic routing and its variations. These ODEs can be derived as limits of Markovian models under a natural scaling as the number of nodes increases. While an analytical study of Markovian models is quite complex and numerical solution impractical for large networks, the corresponding ODE models yield closed-form expressions for several performance metrics of interest, and a… CONTINUE READING
Highly Influential
This paper has highly influenced 86 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 929 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 535 extracted citations

929 Citations

Citations per Year
Semantic Scholar estimates that this publication has 929 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 32 references

Performance modeling of epidemic routing, Technical Report 2005-44, UMASS Computer Science, Zhang05_epidemic_TR.pdf

  • X. Zhang, G. Neglia, J. Kurose, D. Towsley
  • 2005
Highly Influential
3 Excerpts

Solutions of ordinary differential equations as limits of pure jump markov processes

  • T. G. Kurtz
  • Journal of Applied Probabilities
  • 1970
Highly Influential
3 Excerpts

Similar Papers

Loading similar papers…