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Proceedings Paper

Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualization
Author(s): M. Hao; M. Marwah; S. Mittelstaedt; H. Janetzko; D. Keim; U. Dayal; C. Bash; C. Felix; C. Patel; M. Hsu; Y. Chen; M. Hund
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Paper Abstract

Cyber physical systems (CPS), such as smart buildings and data centers, are richly instrumented systems composed of tightly coupled computational and physical elements that generate large amounts of data. To explore CPS data and obtain actionable insights, we present a new approach called Radial Pixel Visualization (RPV); which uses multiple concentric rings to show the data in a compact circular layout of pixel cells, each ring containing the values for a specific variable over time and each pixel cell representing an individual data value at a specific time. RPV provides an effective visual representation of locality and periodicity of the high volume, multivariate data streams. RPVs may have an additional analysis ring for highlighting the results of correlation analysis or peak point detection. Our real-world applications demonstrate the effectiveness of this approach. The application examples show how RPV can help CPS administrators to identify periodic thermal hot spots, find root-causes of the cooling problems, understand building energy consumption, and optimize IT-services workloads.

Paper Details

Date Published: 4 February 2013
PDF: 12 pages
Proc. SPIE 8654, Visualization and Data Analysis 2013, 865404 (4 February 2013); doi: 10.1117/12.2002948
Show Author Affiliations
M. Hao, Hewlett-Packard Labs. (United States)
M. Marwah, Hewlett-Packard Labs. (United States)
S. Mittelstaedt, Univ. Konstanz (Germany)
H. Janetzko, Univ. Konstanz (Germany)
D. Keim, Univ. Konstanz (Germany)
U. Dayal, Hewlett-Packard Labs. (United States)
C. Bash, Hewlett-Packard Labs. (United States)
C. Felix, Hewlett-Packard Labs. (United States)
C. Patel, Hewlett-Packard Labs. (United States)
M. Hsu, Hewlett-Packard Labs. (United States)
Y. Chen, Hewlett-Packard Labs. (United States)
M. Hund, Univ. Konstanz (Germany)


Published in SPIE Proceedings Vol. 8654:
Visualization and Data Analysis 2013
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen, Editor(s)

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