SitaVis - Interactive Situation Awareness Visualization of large datasets

被引:0
|
作者
Williams, Francis C. B. [1 ]
Faithfull, William J. [1 ]
Roberts, Jonathan C. [1 ]
机构
[1] Bangor Univ, Sch Comp Sci, Bangor, Gwynedd, Wales
关键词
Visual Analytics; VAST; 2012; XNA runtime environment; information visualization; Network Security data;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We present SitaVis, a visualization and situational awareness tool for the analysis of the health of a computer network. Network datasets are large and therefore we have developed an interactive framework that enables the dynamic exploration and interactive analysis of the data using aggregation techniques and Microsoft's XNA framework. Machine health data is queried and analysed through visual and direct manipulation of our visualizations. SitaVis includes stacked area graphs, dense pixel plots and geographic representations of the data, and offers situational awareness of large geographically dispersed networks. This paper describes the development and use of the SitaVis that was applied to the VAST 2012 mini-challenge 1, cyber situation awareness data.
引用
收藏
页码:273 / 274
页数:2
相关论文
共 50 条
  • [1] Interactive deformation and visualization of large volume datasets
    Schulze, Florian
    Buehler, Katja
    Hadwiger, Markus
    [J]. GRAPP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL AS/IE, 2007, : 39 - 46
  • [2] Interactive parallel visualization of large particle datasets
    Liang, K
    Monger, P
    Couchman, H
    [J]. PARALLEL COMPUTING, 2005, 31 (02) : 243 - 260
  • [3] Evaluating Techniques for Interactive Exploration and Visualization of Large Astronomical Datasets
    Boch, Thomas
    Pineau, Francois-Xavier
    Blegean, Julien
    [J]. ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS: XXIV, 2015, 495 : 165 - 168
  • [4] iVIBRATE: Interactive visualization-based framework for clustering large datasets
    Chen, Keke
    Liu, Ling
    [J]. ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2006, 24 (02) : 245 - 294
  • [5] Using R-Trees for Interactive Visualization of Large Multidimensional Datasets
    Gimenez, Alfredo
    Rosenbaum, Rene
    Hlawitschka, Mario
    Hamann, Bernd
    [J]. ADVANCES IN VISUAL COMPUTING, PT II, 2010, 6454 : 554 - 563
  • [6] Interactive visualization and analysis of large-scale sequencing datasets using ZENBU
    Jessica Severin
    Marina Lizio
    Jayson Harshbarger
    Hideya Kawaji
    Carsten O Daub
    Yoshihide Hayashizaki
    Nicolas Bertin
    Alistair R R Forrest
    [J]. Nature Biotechnology, 2014, 32 : 217 - 219
  • [7] Interactive visualization and analysis of large-scale sequencing datasets using ZENBU
    Severin, Jessica
    Lizio, Marina
    Harshbarger, Jayson
    Kawaji, Hideya
    Daub, Carsten O.
    Hayashizaki, Yoshihide
    Bertin, Nicolas
    Forrest, Alistair R. R.
    [J]. NATURE BIOTECHNOLOGY, 2014, 32 (03) : 217 - 219
  • [8] Visualization technique for improved situation awareness
    Walrath, JD
    Winkler, RP
    Emmerman, PJ
    Hoffmann, CM
    Kim, YJ
    [J]. HUMAN VISION AND ELECTRONIC IMAGING V, 2000, 3959 : 366 - 371
  • [9] Enhanced battlefield visualization for situation awareness
    Kim, YJ
    Hoffmann, CM
    [J]. COMPUTERS & GRAPHICS-UK, 2003, 27 (06): : 873 - 885
  • [10] Scientific visualization of large datasets
    Ertl, Thomas
    [J]. IT - Information Technology, 2002, 44 (06): : 303 - 307