Visualization system for large-scale network data; A Large scale data capture technique

Miyamura, Hiroko  ; Ozahata, Satoshi*; Nakao, Akihiro*; Kawashima, Konosuke*; Teshima, Naoya*; Suzuki, Yoshio   ; Takemiya, Hiroshi

Recently, construction of large-scale distributed file systems has become easier because of reduced hardware costs and the availability of large hard disks and faster networks. However, if the sizes and/or numbers become too large, occasionally even the data server manager cannot control the storage situation of the files. Therefore, we propose the concept of adaptive network graph display, in which the graph style can be changed according to the details of what the user details is observing, and construct a visualization system based on this concept. When observing data globally, the proposed system selectively displays information based on the clustering result, and when observing data locally, the system displays detailed information. This technique is a basic technology for computational science to achieve large-scale datasets handling and knowledge succession which is a problem in atomic energy related fields.