Using 3D visualization to enhance understanding of computer network state
Ryan Custer, Erik Lee, Jamie Van Randwyk · 2005
Computers networks have introduced incredibly large data sets that need to be understood by human analysts. Traditional methods of presenting these large data sets to humans are typically cumbersome and ineffective. This paper introduces an architecture that takes advantage of human visual processing skills and represents network data as a 3D abstraction that a user can interact with and explore.