Modeling distances in large-scale networks by matrix factorization

  title={Modeling distances in large-scale networks by matrix factorization},
  author={Yun Mao and Lawrence K. Saul},
  booktitle={Internet Measurement Conference},
In this paper, we propose a model for representing and predicting distances in large-scale networks by <i>matrix factorization</i>. The model is useful for network distance sensitive applications, such as content distribution networks, topology-aware overlays, and server selections. Our approach overcomes several limitations of previous coordinates-based mechanisms, which cannot model sub-optimal routing or asymmetric routing policies. We describe two algorithms --- singular value decomposition… CONTINUE READING
Highly Influential
This paper has highly influenced 16 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 107 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 78 extracted citations

108 Citations

Citations per Year
Semantic Scholar estimates that this publication has 108 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-3 of 3 references

Similar Papers

Loading similar papers…