Design and Implementation of an Immensely Scalable Monitoring System

[1]  David E. Culler,et al.  Wide area cluster monitoring with Ganglia , 2003, 2003 Proceedings IEEE International Conference on Cluster Computing.

[2]  Robbert van Renesse,et al.  Astrolabe: A robust and scalable technology for distributed system monitoring, management, and data mining , 2003, TOCS.

[3]  Daniel A. Keim,et al.  An Automated Approach for the Optimization of Pixel-Based Visualizations , 2007, Inf. Vis..

[4]  Jade Goldstein-Stewart,et al.  Using aggregation and dynamic queries for exploring large data sets , 1994, CHI.

[5]  Robbert van Renesse,et al.  Scalable Management and Data Mining Using Astrolabe , 2002, IPTPS.

[6]  Pat Hanrahan,et al.  Polaris: a system for query, analysis and visualization of multi-dimensional relational databases , 2000, IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings.

[7]  Tobias Oetiker,et al.  MRTG: The Multi Router Traffic Grapher , 1998, LISA.

[8]  Daniel Asimov,et al.  The grand tour: a tool for viewing multidimensional data , 1985 .

[9]  Thomas Ertl,et al.  Scientific Visualization: The Visual Extraction of Knowledge from Data (Mathematics and Visualization) , 2005 .

[10]  Daniel A. Keim,et al.  Designing Pixel-Oriented Visualization Techniques: Theory and Applications , 2000, IEEE Trans. Vis. Comput. Graph..

[11]  David E. Culler,et al.  The ganglia distributed monitoring system: design, implementation, and experience , 2004, Parallel Comput..

[12]  Daniel A. Keim,et al.  Information Visualization and Visual Data Mining , 2002, IEEE Trans. Vis. Comput. Graph..

[13]  Eric Anderson,et al.  Extensible, Scalable Monitoring for Clusters of Computers , 1997, LISA.

[14]  Heidrun Schumann,et al.  A scalable framework for information visualization , 2000, IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings.