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Aperture: a system for interactive visualization of voluminous geospatial data

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dc.contributor.authorBruhwiler, Kevin, author
dc.contributor.authorPallickara, Shrideep, advisor
dc.contributor.authorPallickara, Sangmi Lee, advisor
dc.contributor.authorGhosh, Sudipto, committee member
dc.contributor.authorChandrasekaran, Venkatachalam, committee member
dc.date.accessioned2021-01-11T11:20:14Z
dc.date.available2021-01-11T11:20:14Z
dc.date.issued2020
dc.description.abstractThe growth in observational data volumes over the past decade has occurred alongside a need to make sense of the phenomena that underpin them. Visualization is a key component of the data wrangling process that precedes the analyses that informs these insights. The crux of this study is interactive visualizations of spatiotemporal phenomena from voluminous datasets. Spatiotemporal visualizations of voluminous datasets introduce challenges relating to interactivity, overlaying multiple datasets and dynamic feature selection, resource capacity constraints, and scaling. Our methodology to address these challenges relies on a novel mix of algorithms and systems innovations working in concert to ensure effective apportioning and amortization of workloads and enables interactivity during visualizations. In particular our research prototype, Aperture, leverages sketching algorithms, effective query predicate generation and evaluation, avoids performance hotspots, harnesses coprocessors for hardware acceleration, and convolutional neural network based encoders to render visualizations while preserving responsiveness and interactivity. Finally, we also explore issues in effective containerization to support visualization workloads. We also report on several empirical benchmarks that profile and demonstrate the suitability of our methodology to preserve interactivity while utilizing resources effectively to scale.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierBruhwiler_colostate_0053N_16332.pdf
dc.identifier.urihttps://hdl.handle.net/10217/219537
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleAperture: a system for interactive visualization of voluminous geospatial data
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineComputer Science
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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