Datasets of tens of gigabytes are becoming common in computational and experimental science. Providing remote
visualization of these large datasets with adequate levels of quality and interactivity is an extremely challenging task,
particularly for scientists who collaborate in widely distributed locations and their primary access to visualization
resources is a desktop computer. This paper describes a remote visualization system for large-scale terrain rendering
based on parallel streaming pipeline architecture. The visualization pipeline is divided in a client-server paradigm to take
advantage of the powerful computing and storage resources on the dedicated computers. The two key components of this
framework are: view-dependent simplification of the terrain mesh; and a scheme for delivering a minimally necessary
subset of triangle strips to any user requesting an interactive visualization session. To verify the effectiveness of
proposed schemes and data structures, the prototype system was implemented on China next-generation Internet
backbone. Approximate 60GB size image resources for flight simulation were stored centrally in Wuhan, whereas
scientists geographically dispersed in Beijing and Shanghai could manipulate and visualize these large 3D datasets in an
efficient and flexible way, furthermore, the need for data replication to local desktops was eliminated.
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