Distributed and collaborative visualization of large data sets using high-speed networks

  • Authors:

  • Andrei Hutanu;Gabrielle Allen;Stephen D. Beck;Petr Holub;Hartmut Kaiser;Archit Kulshrestha;Miloš Liška;Jon MacLaren;Luděk Matyska;Ravi Paruchuri;Steffen Prohaska;Ed Seidel;Brygg Ullmer;Shalini Venkataraman

  • Affiliations:

  • Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;CESNET z.s.p.o., Praha, Czech Republic and Masaryk University, Brno, Czech Republic;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;CESNET z.s.p.o., Praha, Czech Republic and Masaryk University, Brno, Czech Republic;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;CESNET z.s.p.o., Praha, Czech Republic and Masaryk University, Brno, Czech Republic;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;Zuse Institute Berlin, Berlin, Germany;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA;Center for Computation and Technology, Louisiana State University, Baton Rouge, LA

  • Venue:
  • Future Generation Computer Systems - IGrid 2005: The global lambda integrated facility
  • Year:
  • 2006

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Abstract

We describe an architecture for distributed collaborative visualization that integrates video conferencing, distributed data management and grid technologies as well as tangible interaction devices for visualization. High-speed, low-latency optical networks support high-quality collaborative interaction and remote visualization of large data.