Conference
A. P. Sawant, M. Vanninen, C. G. Healey
Proceedings Visualization and Data Analysis (VDA '07), paper 07, 6495, 2007
Proceedings Visualization and Data Analysis (VDA '07), paper 07, 6495, 2007
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APA
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Sawant, A. P., Vanninen, M., & Healey, C. G. (2007). PerfViz: A visualization tool for analyzing, exploring, and comparing storage controller performance data. In Proceedings Visualization and Data Analysis (VDA '07) (Vol. paper 07, 6495). https://www.spiedigitallibrary.org/conference-proceedings-of-spie/6495/1/PerfViz--a-visualization-tool-for-analyzing-exploring-and-comparing/10.1117/12.704603.full?SSO=1.
Chicago/Turabian
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Sawant, A. P., M. Vanninen, and C. G. Healey. “PerfViz: A Visualization Tool for Analyzing, Exploring, and Comparing Storage Controller Performance Data.” In Proceedings Visualization and Data Analysis (VDA '07). Vol. paper 07, 6495. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/6495/1/PerfViz--a-visualization-tool-for-analyzing-exploring-and-comparing/10.1117/12.704603.full?SSO=1, 2007.
MLA
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Sawant, A. P., et al. “PerfViz: A Visualization Tool for Analyzing, Exploring, and Comparing Storage Controller Performance Data.” Proceedings Visualization and Data Analysis (VDA '07), vol. paper 07, 6495, https://www.spiedigitallibrary.org/conference-proceedings-of-spie/6495/1/PerfViz--a-visualization-tool-for-analyzing-exploring-and-comparing/10.1117/12.704603.full?SSO=1, 2007.
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@conference{a2007a,
title = {PerfViz: A visualization tool for analyzing, exploring, and comparing storage controller performance data},
year = {2007},
volume = {paper 07, 6495},
author = {Sawant, A. P. and Vanninen, M. and Healey, C. G.},
booktitle = {Proceedings Visualization and Data Analysis (VDA '07)},
howpublished = {https://www.spiedigitallibrary.org/conference-proceedings-of-spie/6495/1/PerfViz--a-visualization-tool-for-analyzing-exploring-and-comparing/10.1117/12.704603.full?SSO=1}
}
Abstract
This paper presents a technique that allows viewers to visually analyze, explore, and compare a storage controller's performance. We present an algorithm that visualizes storage controller's performance metrics along a traditional 2D grid or a linear space-filling spiral. We use graphical “glyphs” (simple geometric objects) that vary in color, spatial placement and texture properties to represent the attribute values contained in a data element. When shown together, the glyphs form visual patterns that support exploration, facilitate discovery of data characteristics, relationships, and highlight trends and exceptions. We identified four important goals for our project: 1. Design a graphical glyph that supports flexibility in its placement, and in its ability to represent multidimensional data elements. 2. Build an effective visualization technique that uses glyphs to represent the results gathered from running different tests on the storage controllers by varying their performance parameters. 3. Build an effective representation to compare the performance of storage controller(s) during different time intervals. 4. Work with domain experts to select properties of storage controller performance data that are most useful to visualize.
