Web-based High Performance Remote Visualization.

摘要

This work describes a web browser-based remote visualization capability for large datasets. We discuss recent enhancements including access to databases and remote resources, as well as the addition of two image compression algorithms and their effect on performance. Results indicate that the existing SeQuential Unified-channel Image Run Transmission (SQUIRT) image compression algorithm performs best for large bandwidth situations while the new binary set splitting with k-d trees (BISK) algorithm works better than the previous JPEG compression scheme. The results from a study on encryption effects on the data stream show that encryption does not add a significant amount of overhead.