Distributed aggregate computation between server and client for interactive visualization

A visualization system is frequently challenged by large volume of datasets to be processed. The situation becomes more serious when visual feedback is required to be responsive. In this paper, an adaptive approach is proposed to efficiently distribute aggregate computation load between server and client for interactive visualization. This proposal combines available computing power on both server and client sides. Additionally, adaptively shifts part of the aggregate computation load to and fro for achieving interactive rate of large data visualization. An experimental prototype confirmed that that proposed method improves interactive rate of large data visualization.