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|a eng
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|a Badam, Sriram Karthik
|e verfasserin
|4 aut
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| 245 |
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|a Munin
|b A Peer-to-Peer Middleware for Ubiquitous Analytics and Visualization Spaces
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|c 2015
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|a Date Completed 02.12.2015
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|a Date Revised 11.09.2015
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a We present Munin, a software framework for building ubiquitous analytics environments consisting of multiple input and output surfaces, such as tabletop displays, wall-mounted displays, and mobile devices. Munin utilizes a service-based model where each device provides one or more dynamically loaded services for input, display, or computation. Using a peer-to-peer model for communication, it leverages IP multicast to replicate the shared state among the peers. Input is handled through a shared event channel that lets input and output devices be fully decoupled. It also provides a data-driven scene graph to delegate rendering to peers, thus creating a robust, fault-tolerant, decentralized system. In this paper, we describe Munin's general design and architecture, provide several examples of how we are using the framework for ubiquitous analytics and visualization, and present a case study on building a Munin assembly for multidimensional visualization. We also present performance results and anecdotal user feedback for the framework that suggests that combining a service-oriented, data-driven model with middleware support for data sharing and event handling eases the design and execution of high performance distributed visualizations
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|a Journal Article
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|a Fisher, Eli
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|a Elmqvist, Niklas
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1998
|g 21(2015), 2 vom: 10. Feb., Seite 215-28
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