Collaborative work discuss common problems by sharing visualization data in grid environment is a useful method in order to understand each other. However, real-time transmission and sharing technique for large-scale visualization data have been insufficient, it is important to develop an effective remote visualization technique. The speed-up of processing is considered as one of demands for remote visualization of large-scale data. In this paper, we implemented RBUDP (Reliable Blast UDP) protocol which is high-speed quality and reliance quality with our remote visualization system. In addition, we implemented a parallel processing method of data transmission by using multi-thread to improve the effect for waiting time in visualization processing. We have evaluated in long-distance network environment, and proved to be available the speed-up of remote visualization.
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