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Publication Details for Inproceedings "Visualizing Large Sensor Network Data Sets in Space and Time with Vizzly"

 

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Authors: Matthias Keller, Jan Beutel, Olga Saukh, Lothar Thiele
Group: Computer Engineering
Type: Inproceedings
Title: Visualizing Large Sensor Network Data Sets in Space and Time with Vizzly
Year: 2012
Month: October
Book Titel: Proceedings of the Seventh IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp 2012)
Pages: 963-971
Keywords: SN
Abstract: This paper presents Vizzly, a middleware for the interactive browsing of large sensor network data sets. Provided map and line plot widgets allow to visualize structured data from mobile and static sensors. A user is completely free in selecting sensor data based on time and location, suitable levels of temporal and spatial detail are automatically chosen by the Vizzly server. Vizzly automatically adapts to user interactions, new data is automatically loaded when query parameters change. Request response times are significantly reduced by the use of caching techniques, most requests are served from already pre-computed data that is stored in the memory of the Vizzly server. Vizzly has already been successfully integrated into the PermaSense and OpenSense projects, a single instance is currently handling more than 550 millions of data points.
Location: Clearwater, FL, USA
Resources: [BibTeX] [Paper as PDF]

 

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