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Proceedings Paper

Time-synchronized visualization of arbitrary data streams
Author(s): Paul Z. Kolano
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Paper Abstract

Savors is a visualization framework that supports the ingestion of data streams created by arbitrary command pipelines. Multiple data streams can be shown synchronized by time in the same or different views, which can be arranged in any layout. These capabilities combined with a powerful parallelization mechanism and interaction models already familiar to administrators allows Savors to display complex visualizations of data streamed from many different systems with minimal effort. This paper presents the design and implementation of Savors and provides example use cases that illustrate many of the supported visualization types.

Paper Details

Date Published: 8 February 2015
PDF: 8 pages
Proc. SPIE 9397, Visualization and Data Analysis 2015, 93970P (8 February 2015); doi: 10.1117/12.2083256
Show Author Affiliations
Paul Z. Kolano, NASA Ames Research Ctr. (United States)


Published in SPIE Proceedings Vol. 9397:
Visualization and Data Analysis 2015
David L. Kao; Ming C. Hao; Mark A. Livingston; Thomas Wischgoll, Editor(s)

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