Graph drawing in the cloud: privately visualizing relational data using small working storage

  • Authors:
  • Michael T. Goodrich;Olga Ohrimenko;Roberto Tamassia

  • Affiliations:
  • Dept. Computer Science, Univ. of California, Irvine;Dept. Computer Science, Brown University;Dept. Computer Science, Brown University

  • Venue:
  • GD'12 Proceedings of the 20th international conference on Graph Drawing
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

We study graph drawing in a cloud-computing context where data is stored externally and processed using a small local working storage. We show that a number of classic graph drawing algorithms can be efficiently implemented in such a framework where the client can maintain privacy while constructing a drawing of her graph.